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HSC 2026 final syllabus year published Aug 2026

Mathematics Advanced question styles to look out for

The question styles to have ready — each linked to its evidence and to a question in the practice paper.

Built by a six-model AI panel and backtested against the hidden 2025 papers — how we did it.

About the 2026 exam & how this page was built

Built from a six-model AI analysis of every HSC Mathematics Advanced paper, marking guideline and marking-centre feedback report since 2020 — backtested against the 2025 paper before publishing. 2026 is the FINAL year of the current syllabus, and the paper's shell has not moved in six years: 100 marks, 10 multiple choice, then 21 short questions (Q11–31) worth 90 marks. Final-year papers historically favour well-trodden formats — which makes style preparation unusually valuable this year.

The near-certainties

Section II · 4–7 marks 6 of 6 models expect this

The optimisation capstone (Q30–31, 4–7 marks)

The panel's headline call: a two-part optimisation where (a) 'Show that' reduces a composite geometric constraint (wire/fence/container) to a one-variable objective with a fractional...

Section II · 3–6 marks 6 of 6 models expect this

The calculus bankers: area between curves, and the "hence" pair

Find where a parabola meets a line or a second parabola, then integrate the difference for an exact area, with the intersections asked as a separate opening mark.

Section II · 5–7 marks 6 of 6 models expect this

The financial double: recurrence loan AND the factor table

The 6–7 mark financial centrepiece: 'Show $A_2 = P(1+r)^2 - M(1+r) - M$', then the closed form $A_n$ by summing the geometric series, then a logarithmic solve for the month a balance...

On this page
  1. 1. The optimisation capstone (Q30–31, 4–7 marks)
  2. 2. The financial double: recurrence loan AND the factor table
  3. 3. The continuous random variable chain
  4. 4. Normal distribution with the z-table — run backwards
  5. 5. The calculus bankers: area between curves, and the "hence" pair
  6. 6. Periodic modelling in context
  7. Where to spend study time
  8. Practice paper
  9. Check our working

The near-certainties (every model, every year)

1. The optimisation capstone (Q30–31, 4–7 marks)

6 of 6 models expect this — consensus probability 0.75

Part (a) is a "show that": reduce a fenced enclosure, container or composite shape to a one-variable formula with a fractional term. Part (b) is where the marks die: differentiate, solve, verify the nature (second derivative or sign table), and answer the quantity actually asked. The traps the marking centre has flagged four times (2020 Q25b, 2023 Q24b, 2024 Q31b, 2025 Q26b): nature never verified, and the optimised cost/area confused with the variable. One model tips a twist for 2026: a cost objective (dollars, not just centimetres) after two years of pure geometry — and don't forget maxima can sit at domain endpoints (flagged 2022, 2024, 2025).

2. The financial double: recurrence loan AND the factor table

6 of 6 models expect this — consensus probability 0.71

Two separate questions, most years. The big one (5–7 marks): "Show $A_2 = P(1+r)^2 - M(1+r) - M$", then the closed form by summing the geometric series, then a logarithm solve for when the balance first crosses a threshold. The traps with years attached: wrong number of terms in the series (2021 Q29, 2022 Q32, 2023 Q25, 2025 Q17) and log errors isolating $n$. The small one (2–4 marks): a supplied interest-factor table — convert the annual rate to the compounding period first, then decide whether to multiply (future value of deposits) or divide (required contribution). Students rebuilding the series instead of reading the table were flagged in 2021, 2023 and 2025. Practise an investment-with-withdrawals variant: 2025 already used a home loan.

3. The continuous random variable chain

6 of 6 models expect this — consensus probability 0.69

Find $k$ by integrating the pdf to 1; find the mode; find the median from $F(x) = 0.5$. Two traps own this question: if the density is monotonic, the mode is an endpoint — do not differentiate (2025 Q21a caught exactly this) — and pdf/CDF confusion, flagged every year from 2021 to 2025. Expect an exact surd or log answer for the median, not a decimal.

4. Normal distribution with the z-table — run backwards

6 of 6 models expect this — consensus probability 0.71

Standardise, look up, convert to an expected count — then the reverse part: given a tail probability or "the top 10%", recover the cutoff (2024 Q23c) or the standard deviation. The marking centre's exact words, three years running: a z-score is not a probability, and the empirical rule cannot handle non-integer z-scores. Practise reading $P(Z \le z)$ tables both directions.

5. The calculus bankers: area between curves, and the "hence" pair

6 of 6 models expect this — consensus probability 0.72

Area between curves (3–6 marks): find the intersections first — they're usually a separate mark — then top-minus-bottom with bracketed substitution (order-of-subtraction errors flagged 2022, 2023, 2024). The "hence" pair: differentiate a product like $x^2 \tan x$ (2024) or $\sin x - x\cos x$ (2025), then "hence find" the matching integral by recognition. Every single year's feedback flags students ignoring the word "hence" and attempting the integral from scratch. If part (a) hands you a derivative, part (b) wants you to use it.

6. Periodic modelling in context

5 of 6 models expect this — consensus probability 0.69

Tides, Ferris wheels, sound: fit $k$, $a$ and $c$ in $y = c + k\cos(at)$ from a stated max/min, sketch over a restricted domain (draw only the stated domain — a full period drawn anyway was flagged in 2024 and 2025), then solve $f(t) \ge$ value for a duration. Adjust the domain before solving, work in radians, and find every quadrant solution (flagged 2021, 2022, 2023, 2024).

Strong candidates

  • Bearings and the cosine rule, ending in a three-figure bearing — the two named traps: assuming a right angle the diagram never gave you (2020, 2024, 2025), and stopping at the internal angle without converting it to a bearing. Three of our six models also flag the ambiguous case of the sine rule (obtuse answer required) — last written in 2021 and due back.
  • Regression stimulus — interpret the gradient in context with values, predict inside the data, then refuse the extrapolation because it gives an impossible value (a negative quantity, a score over 100). And remember: the gradient is not the correlation coefficient (2021, 2023, 2025).
  • Transformation questions both ways — the MC identifying $y = f(2x-1)$ or $y = -f(-x)$, and the written parabola translated by the same unknown both directions (2025 Q30): substitute the point, solve the quadratic in $k$, and reject the invalid root — both roots usually satisfy the equation.
  • The series opener with the year planted in it — 2021's sum was 2021, 2024's last term was 2024, 2025's sequence ended at 2025. Expect 2026 as a term, sum or limit; show $n$ is a positive integer.
  • Conditional probability, reverse pivot — ratios converted to probabilities (2025 Q19), then $P(\text{cause} \mid \text{outcome})$: the conditioning event is the result, not the stage. "Given" is not "and".
  • The domain multiple-choice — the panel's highest single-question probabilities anywhere. Know your open versus closed endpoints.
  • Curve sketch by calculus — quartic or polynomial-times-exponential: classify stationary points, and prove concavity changes before calling anything an inflection ($f'' = 0$ alone scores nothing — 2020, 2024).
  • Trapezoidal rule + concavity — count function values, not applications (2022, 2024, 2025), then link over/underestimate to where the chords sit.

The rested topic — and the final-year twist

Differentiation from first principles (MA-C1) is the panel's only genuinely rested call: five of six models rate a standalone appearance under 55%. But the final-year logic cuts the other way too — a syllabus dot point never substantially examined is exactly what a last-chance paper sweeps up. Two models call the 2-mark comeback, and two more flag the other never-examined dot point: logarithmic scales (decibels, Richter, pH). Neither costs more than an evening to prepare; both are cheap insurance. The same caution applies in reverse: one model argues the loan recurrence itself could rest this year — streaks break, so master the method (building the series term by term), not the memorised template.

The honest fine print

When we backtested this method against the real 2025 papers (the pilot covered chemistry and Maths Ext 1): every topic we rated ≥90% appeared (37/37 across both pilot subjects), roughly half of our specific question predictions recognisably appeared, and the misses clustered where the examiners twisted a format or moved a question into multiple choice. The lesson for revision: master the skill chains and setting-out habits above — they survive every format twist; a memorised question doesn't.

Want to check our working? every call above, with each model's own prediction
6 of 6 models expect this — consensus probability 0.75 Show-that constrained optimisation with nature verification (the Q30–31 capstone) 6 of 6 models expect this
adv-q1-optimisation-capstone Section II 4–7 marks discriminator consensus 0.75

The panel's headline call: a two-part optimisation where (a) 'Show that' reduces a composite geometric constraint (wire/fence/container) to a one-variable objective with a fractional term, and (b) differentiates, verifies the nature by second derivative or sign table, and answers the quantity actually asked — with endpoint/domain checking to justify the global answer (fable). Gemini's structural twist: the 2026 finale shifts to a COST/financial objective after 2024–2025 both used perimeter/area. DeepSeek names a concrete instance (box, square base, open top, $V = 500\,\text{cm}^3$, $A = x^2 + 2000/x$) — a single-model textbook-style surface, treat the constants as illustrative only.

What each model said

  • Claude Fable 5 0.80
  • Claude Opus 5 0.80
  • Gemini 3.1 Pro 0.80
  • Grok 4.6 0.72
  • DeepSeek V4 0.70
  • GPT-5.6 Sol 0.68

In the practice paper: Q31

5 of 6 models expect this — consensus probability 0.77 Section I domain of a surd/reciprocal function (open-vs-closed endpoint distractors) 5 of 6 models expect this
adv-q2-domain-mc Section I 1 marks routine consensus 0.77

The highest per-question probabilities in the whole panel (grok 0.84, fable and opus 0.85): a one-mark MC giving the domain of $1/(1-x)$, $\sqrt{a-x^2}$ or a composite like $\sqrt{\ln(x-1)}$, with distractors encoding the wrong inequality direction and open/closed bracket confusion. A domain MC has appeared in 2020, 2021, 2023, 2024 and 2025. Gemini's F1 votes went to the composite-range and odd/even variants instead.

What each model said

  • Claude Fable 5 0.85
  • Claude Opus 5 0.85
  • Grok 4.6 0.84
  • GPT-5.6 Sol 0.71
  • DeepSeek V4 0.60

In the practice paper: Q1

6 of 6 models expect this — consensus probability 0.72 Area between two curves: intersections first, top-minus-bottom, exact answer 6 of 6 models expect this
adv-q3-area-between-curves Section II 3–6 marks mid range consensus 0.72

Find where a parabola meets a line or a second parabola, then integrate the difference for an exact area, with the intersections asked as a separate opening mark. Variants: gemini has a trig-curve-vs-line form with exact values; gpt-5.6-sol has a parameter recovered from a stated area. DeepSeek's concrete pair reuses $y = 4x - x^2$, a curve that appears verbatim in a past paper in the evidence pack — grounded, not echoed. Marking-centre lineage: subtracting in the correct order and bracketed limit substitution (2022 Q16, 2023 Q32a, 2024 Q14).

What each model said

  • Claude Fable 5 0.80
  • Grok 4.6 0.78
  • Gemini 3.1 Pro 0.75
  • Claude Opus 5 0.70
  • DeepSeek V4 0.70
  • GPT-5.6 Sol 0.62

In the practice paper: Q22

6 of 6 models expect this — consensus probability 0.71 Reducing-balance loan / annuity: show $A_2$, sum the geometric series, solve with logs 6 of 6 models expect this
adv-q4-loan-annuity-recurrence Section II 5–7 marks discriminator consensus 0.71

The 6–7 mark financial centrepiece: 'Show $A_2 = P(1+r)^2 - M(1+r) - M$', then the closed form $A_n$ by summing the geometric series, then a logarithmic solve for the month a balance first crosses a threshold or the largest sustainable repayment/withdrawal. Gemini flips it to a superannuation/contribution goal; deepseek adds a mid-term interest-rate rise. Grok is the hedge: its bold call says the recurrence may rest entirely this year, leaving finance to a series plus the factor table — its 0.52 is the savings-GP form.

What each model said

  • Gemini 3.1 Pro 0.85
  • Claude Fable 5 0.80
  • Claude Opus 5 0.80
  • DeepSeek V4 0.70
  • GPT-5.6 Sol 0.58
  • Grok 4.6 0.52

In the practice paper: Q30

6 of 6 models expect this — consensus probability 0.71 Normal distribution with a supplied z-table — including a reverse lookup 6 of 6 models expect this
adv-q5-normal-z-table Section II 3–5 marks mid range consensus 0.71

Weights/marks context with a cumulative z-table supplied: standardise, read the probability, convert to an expected count in a population — then a REVERSE part (fable, gpt-5.6-sol, gemini, deepseek): given a tail probability or percentile, recover the cutoff value or the standard deviation. Opus adds the one-mark comparison sentence across two differently-parameterised populations. Marking-centre lineage: z-scores are not probabilities; the empirical rule cannot handle non-integer z-scores (2021, 2023, 2024, 2025).

What each model said

  • DeepSeek V4 0.80
  • Claude Opus 5 0.72
  • Claude Fable 5 0.70
  • Gemini 3.1 Pro 0.70
  • Grok 4.6 0.70
  • GPT-5.6 Sol 0.63

In the practice paper: Q23

6 of 6 models expect this — consensus probability 0.69 Continuous random variable chain: find $k$, mode (endpoint trap), median from the CDF 6 of 6 models expect this
adv-q6-crv-pdf-chain Section II 4–6 marks discriminator consensus 0.69

A pdf on a finite interval with an unknown constant fixed by integrating to 1, then the mode — including the monotone-density edge case where the mode sits at an ENDPOINT (2025 Q21a; fable, opus) — then a median or quartile from CDF = 0.5 or 0.25, answer as an exact surd/log value. DeepSeek's instance $f(x) = kx(2-x)$ on $[0,2]$ and gemini's quadratic-pdf median are single-model surfaces of the same chain. The repeated marking-centre flag: pdf confused with CDF, and the mode sought by differentiation when the density is monotone.

What each model said

  • Claude Fable 5 0.80
  • Claude Opus 5 0.78
  • Gemini 3.1 Pro 0.75
  • Grok 4.6 0.66
  • DeepSeek V4 0.60
  • GPT-5.6 Sol 0.55

In the practice paper: Q27

6 of 6 models expect this — consensus probability 0.69 Transformation of a given graph — MC recognition plus a written $kf(a(x+b))+c$ item 6 of 6 models expect this
adv-q7-graph-transformations Section mixed 1–4 marks mid range consensus 0.69

Two realisations the panel splits across: the MC identifying $y = f(2x-1)$, $y = -f(-x)$ or $4f(2x)$ from sketches with intercepts as the decision points (grok, fable, gpt-5.6-sol; gemini's variant uses $|f(x)|$ vs $f(|x|)$), and the written sketch of $y = kf(a(x+b))+c$ or $2f(1-x)+1$ from a labelled graph (opus, deepseek). The constant trap either way: the horizontal dilation acting on x-values, not the ordinate (2021 Q21, 2024 Q7, 2025 Q6 lineage).

What each model said

  • Gemini 3.1 Pro 0.85
  • Grok 4.6 0.76
  • Claude Fable 5 0.75
  • Claude Opus 5 0.60
  • DeepSeek V4 0.60
  • GPT-5.6 Sol 0.56

In the practice paper: Q2 Q20

5 of 6 models expect this — consensus probability 0.69 Periodic modelling in context: fit the constants, sketch, then solve an inequality 5 of 6 models expect this
adv-q8-trig-modelling Section II 4–7 marks discriminator consensus 0.69

Tides/Ferris wheel/sound: read or fit $k$, $a$, $c$ in $y = c + k \sin/\cos(at)$ from stated max/min or a graph, sketch over a restricted domain, then a harder part solving $f(t) \ge$ value for a duration, or comparing two phase-shifted functions (both decreasing — 2020 Q31b, 2025 Q15c; heights equal — 2024 Q28c), worked in radians over an adjusted domain. Grok notes 2025's sound-wave story makes an exact repeat of that dressing less likely; deepseek's tide constants (5.2 m at 2 am / 1.4 m at 8 am) are single-model and illustrative.

What each model said

  • Claude Fable 5 0.85
  • Claude Opus 5 0.72
  • DeepSeek V4 0.70
  • Grok 4.6 0.60
  • GPT-5.6 Sol 0.58

In the practice paper: Q29

5 of 6 models expect this — consensus probability 0.67 Routine series opener with the year number planted (early Section II, 2–3 marks) 5 of 6 models expect this
adv-q9-series-opener Section II 2–3 marks routine consensus 0.67

The traditional Q11–13 arithmetic/geometric warm-up: identify $a$ and $d$ (or $r$), find $n$ from the last term, then $S_n$ — with the number 2026 planted as a term, sum or limit, as 2021 (sum 2021), 2024 (last term 2024) and 2025 (sequence ending 2025) all did (fable). DeepSeek's variant is a limiting sum feeding a perpetuity. Marking-centre lineage: $n$ shown as a positive integer; the correct reference-sheet formula.

What each model said

  • Grok 4.6 0.82
  • Claude Opus 5 0.72
  • Claude Fable 5 0.70
  • GPT-5.6 Sol 0.61
  • DeepSeek V4 0.50

In the practice paper: Q11

5 of 6 models expect this — consensus probability 0.67 Conditional probability with a reverse pivot: ratio priors, then $P(\text{cause} \mid \text{outcome})$ 5 of 6 models expect this
adv-q10-conditional-probability Section II 2–4 marks discriminator consensus 0.67

Tree diagram with first-stage chances given as a RATIO converted to probabilities (2025 Q19 lineage), each branch carrying a different success rate; find total probability of the outcome, then reverse it — $P(\text{a nominated branch} \mid \text{the outcome})$ — the Bayes-flavoured structure where the conditioning event is the result, not the stage. DeepSeek's disease-test dressing (95% sensitivity / 90% specificity / 2% prevalence) is the canonical textbook screening problem — single-model, constants illustrative only. The perennial flag: 'given' treated as 'and'.

What each model said

  • Claude Fable 5 0.70
  • DeepSeek V4 0.70
  • Grok 4.6 0.68
  • Claude Opus 5 0.68
  • GPT-5.6 Sol 0.57

In the practice paper: Q16

5 of 6 models expect this — consensus probability 0.66 Differentiate a product, then 'hence' integrate by recognition 5 of 6 models expect this
adv-q11-hence-pair Section II 3–5 marks mid range consensus 0.66

The linked pair: (a) product/quotient rule on a polynomial times trig, exponential or log factor ($x^2 \tan x$ in 2024, $\sin x - x\cos x$ in 2025), exact gradient at a $\pi$-based point; (b) 'hence find' the matching integral by reverse-recognition after a constant adjustment, possibly a definite integral. Fable gives this its single highest question probability (0.85). Gemini's adjacent vote (0.80) is the quotient-rule-and-factorise half without the hence link. Every year's feedback flags 'hence' ignored and the integral attempted from scratch.

What each model said

  • Claude Fable 5 0.85
  • Claude Opus 5 0.72
  • Grok 4.6 0.70
  • GPT-5.6 Sol 0.51
  • DeepSeek V4 0.50

In the practice paper: Q15

6 of 6 models expect this — consensus probability 0.66 Bearings/3D survey: cosine rule, sine rule, convert the internal angle to a bearing 6 of 6 models expect this
adv-q12-bearings-3d-trig Section II 3–7 marks discriminator consensus 0.66

A tower/ship figure combining an angle of elevation or two-leg journey with the cosine rule at a ground vertex, the sine rule for a second angle, then converting an internal angle to a three-figure bearing (2024 Q20, 2025 Q29 lineage) — with the non-right-angle trap flagged in the diagram. Gemini sharpens it to the AMBIGUOUS CASE of the sine rule (obtuse angle required), which grok and deepseek independently flag as bold-call revival material (last written 2021). Grok expects a shorter item after two long 3D questions in a row.

What each model said

  • Claude Opus 5 0.75
  • DeepSeek V4 0.70
  • Gemini 3.1 Pro 0.70
  • Claude Fable 5 0.65
  • GPT-5.6 Sol 0.57
  • Grok 4.6 0.56

In the practice paper: Q25

6 of 6 models expect this — consensus probability 0.65 Future/present-value interest-factor table: convert the rate, pick the cell, multiply or divide 6 of 6 models expect this
adv-q13-interest-factor-table Section II 2–4 marks mid range consensus 0.65

A supplied table of annuity interest factors: convert an annual rate and term to the compounding period, select the factor, then decide whether to multiply (future value of deposits) or divide (required contribution) — possibly two-stage (annuity phase then pure compounding, 2021 style) or comparing a lump sum with regular deposits. The perennial flags: wrong cell, and rebuilding the geometric series instead of using the table. Corpus-echo check: fable, grok and deepseek all quote a 6% p.a. rate — verified PRESENT in the evidence pack (6% p.a. annuity contexts and a factor-table column at $r = 0.005/0.06$), so this is pack-grounded convergence, not a training-data echo; no contamination note required.

What each model said

  • Claude Fable 5 0.80
  • Claude Opus 5 0.75
  • Grok 4.6 0.64
  • Gemini 3.1 Pro 0.60
  • DeepSeek V4 0.60
  • GPT-5.6 Sol 0.52

In the practice paper: Q17

6 of 6 models expect this — consensus probability 0.64 Least-squares regression stimulus: interpret slope in context, predict, refuse the extrapolation 6 of 6 models expect this
adv-q14-regression-scatterplot Section II 3–6 marks mid range consensus 0.64

Scatterplot with the least-squares line given (or built from the $(\bar{x}, \bar{y})$ property): interpret gradient and intercept in context WITH values, interpolate a prediction, then explain why a distant extrapolation is unsafe because it yields an impossible value (negative usage, a score over 100). Gemini's variant adds a residual plot and an outlier's effect on $r$; the shared marking-centre flag is 'gradient is not correlation' (2021, 2023, 2025).

What each model said

  • Claude Fable 5 0.75
  • Claude Opus 5 0.75
  • Gemini 3.1 Pro 0.75
  • DeepSeek V4 0.70
  • Grok 4.6 0.48
  • GPT-5.6 Sol 0.42

In the practice paper: Q26

Watch list — worth having ready (13)
  • Exponential growth/decay context model — find $k$ by logs, rate = derivative, threshold time (6 models, ~0.63; narrowly outside the cluster cut — gemini's bold call is a Newton's-Law-of-Cooling variant with the ambient asymptote found first)

  • Trapezoidal rule from a table, then over/underestimate justified by concavity (6 models, ~0.60; grok expects no repeat of the 2022/2025 e-inequality chain)

  • Full calculus curve sketch of a quartic or polynomial-times-exponential with concavity-change justification (5 models, ~0.62)

  • Discrete random variable table: missing probability, $E(X)$, $\sigma$ via $\text{Var} = E(X^2) - \mu^2$ (5 models, ~0.55)

  • Arc/sector/segment in radians inside a composite shape (5 models, ~0.51)

  • Composite-function range via the inner function's range, 2025 Q18 lineage (4 models, ~0.60)

  • Parallel box plots / data-display comparison needing distinct contextual statements (4 models, ~0.53)

  • Parabola translated by the SAME constant both ways, quadratic in $k$ with a rejected root — 2025 Q30 lineage (4 models, ~0.48)

  • Trig equation reducing to a quadratic in sin/cos, factorise not divide (gemini 0.75, deepseek 0.50, opus adjacent)

  • Logarithmic-scale application (decibels/Richter/pH) — the E1 dot point never examined 2020–2025; fable (35% chance) and gpt-5.6-sol (38% chance) both make it their coverage-gap bold call

  • Differentiation from first principles returns — MA-C1 is the panel's only rested topic (5 of 6 models), yet deepseek (50% chance) and opus (bold, 0.30) call the 2-mark coverage-gap comeback

  • Parameter-count trig finale (for what $p$ does $\cos px = c$ have exactly two solutions) — 2025 Q31 lineage (3 models, ~0.49; grok argues a straight repeat is less likely)

  • Section I hardest item: derived-function reasoning from a graph of $f'$ (fable structural 0.75; gpt-5.6-sol's estimate-$f$-from-$f'$ variant 0.36)

Where to spend your study time

How likely each topic is to appear this year.

Integral calculus 99% likely

Chance of a big question (4+ marks) here: 91%

Question types predicted here extended response ×9 short answer ×8

What each model expects

  • DeepSeek V4: A question combining trapezoidal rule and exact integration, with a part asking whether the estimate is over/under based on concavity, similar to 2024 Q22.
  • Claude Fable 5: The derivative-given 'hence integrate' pair appears again (worth 4-5 marks), and any trapezoidal-rule part carries an explicit overestimate/underestimate justification mark.
  • Gemini 3.1 Pro: A question finding the area bounded by two curves where one is a trigonometric function, demanding exact values in radians.
  • GPT-5.6 Sol: A Section II area question will require both constructing the definite integral and using a previous intersection or parameter result.
  • Grok 4.6: Expect a mid-paper enclosed-area integral and a short trapezoidal-plus-concavity item rather than a repeat of the 2025 deduce-e-from-areas closer.
  • Claude Opus 5: Area between two curves returns after resting in 2025, most likely a 3-4 mark item whose first mark is the intersection points found by solving simultaneously.
Applications of differentiation 99% likely

Chance of a big question (4+ marks) here: 94%

Question types predicted here extended response ×13 short answer ×4

What each model expects

  • DeepSeek V4: An optimisation problem involving a geometric shape (e.g., cylinder inscribed in a cone) will appear as Q30 or Q31, worth 5 marks, requiring differentiation, solving, and verification of maximum.
  • Claude Fable 5: A 5-6 mark two-part optimisation with a 'show that' formula lead-in sits late in Section II (Q26-Q31), and its justification mark hinges on endpoint or domain reasoning rather than the second derivative alone.
  • Gemini 3.1 Pro: A 5-mark optimisation question placed around Q27, focusing on cost minimisation rather than purely geometric area or volume.
  • GPT-5.6 Sol: A 5–7 mark late-section optimisation question will demand an explicit extremum justification rather than merely solving the stationary-point equation.
  • Grok 4.6: A 4–6 mark show-that optimisation in a fence or container setting, with an explicit nature test, is the C3 discriminator; 2025 already used the wire-circle-triangle story.
  • Claude Opus 5: A 5-7 mark optimisation sits in the Q24-Q29 band, opening with a 'Show that' one-variable expression, with a separate 4-5 mark calculus curve sketch placed earlier in Section II.
Modelling financial situations (series, annuities) 98% likely

Chance of a big question (4+ marks) here: 85%

Question types predicted here short answer ×10 extended response ×7

What each model expects

  • DeepSeek V4: A reducing balance loan question with a change in interest rate part-way through, requiring use of geometric series and logarithms to find number of extra payments, similar to 2022 Q32.
  • Claude Fable 5: A 6-7 mark structured annuity question with a 'show An' derivation anchors the back half of Section II, alongside a separate 3-mark interest-factor-table question — both formats have run every year since 2021.
  • Gemini 3.1 Pro: A 5-mark question on superannuation requiring the derivation of the geometric series, avoiding loan repayments.
  • GPT-5.6 Sol: Financial mathematics will be lighter than in 2025 but will retain one geometric-series or annuity calculation of at least three marks.
  • Grok 4.6: Routine arithmetic series plus a table annuity; the 2025 seven-mark reducing-balance show-A2/show-An/find-n block is not repeated at that scale.
  • Claude Opus 5: A 6-7 mark reducing-balance or annuity question built on a recurrence relation, with a 'Show that An = ...' middle part summing a geometric series, is the single most probable long question in the 2026 paper.
Random variables (continuous, normal) 97% likely

Chance of a big question (4+ marks) here: 82%

Question types predicted here extended response ×10 multiple choice ×4 short answer ×2

What each model expects

  • DeepSeek V4: A normal distribution question with a table of z-scores, requiring calculation of a percentage and then finding a score from a given percentile, similar to 2023 Q23.
  • Claude Fable 5: A pdf/CDF question worth 4-6 marks appears with an exact-value percentile part, and a z-table is supplied for a separate normal-distribution question with a reverse-lookup component.
  • Gemini 3.1 Pro: Finding an unknown parameter (mean or variance) of a normal distribution by working backwards from a probability using z-scores.
  • GPT-5.6 Sol: A normal-distribution question will combine a tail probability with an expected count or cross-distribution comparison rather than ask only for a z-score.
  • Grok 4.6: A z-table expected-count question returns after 2025’s empirical-only sheep item, paired with a PDF normalisation plus mode or Q1.
  • Claude Opus 5: A 5-6 mark continuous random variable question in the back half chaining the pdf constant, a mode requiring justification, and a percentile from the cumulative distribution function.
Trigonometric functions and graphs 94% likely

Chance of a big question (4+ marks) here: 71%

Question types predicted here short answer ×7 extended response ×6 multiple choice ×3

What each model expects

  • DeepSeek V4: A trigonometric modelling question with a real-world context (e.g., tide or temperature), requiring determination of parameters from given data, then solving an inequality.
  • Claude Fable 5: A 5-7 mark applied periodic-model question appears in the last third of Section II, and its final part compares two trigonometric functions (simultaneous behaviour or intersection) rather than just solving one equation.
  • Gemini 3.1 Pro: A trigonometric equation disguised as a quadratic, testing both algebraic manipulation and exact values in radians.
  • GPT-5.6 Sol: The 2026 paper will test sinusoidal modelling, but with fewer marks than 2025 and without another final-question parameter interval.
  • Grok 4.6: A single-function tide or temperature cosine, asking max/min, period and time above a threshold, rather than another two-carriage or two-wave comparison.
  • Claude Opus 5: A periodic modelling question of 4-6 marks that compares two sinusoids and asks for the interval or instants where they agree or move in the same direction, resolved graphically.
Working with functions (Y11) 93% likely

Chance of a big question (4+ marks) here: 51%

Question types predicted here short answer ×9 multiple choice ×6 extended response ×1

What each model expects

  • DeepSeek V4: A multiple-choice question on domain of a composite function involving square root and logarithm, with distractors based on common errors.
  • Claude Fable 5: F1 supplies two to three multiple-choice items plus one accessible 2-3 mark Section II opener; the composite-function range/oddness idea appears once as the sharpest F1 moment.
  • Gemini 3.1 Pro: A 2-mark question in the early part of Section II testing the domain of a function like y = sqrt(4 - x^2).
  • GPT-5.6 Sol: At least one Section I item will test a domain, range or polynomial-shape restriction through misconception-based distractors.
  • Grok 4.6: A domain MC is near-certain; the written F1 item is more likely an absolute-value or hyperbola sketch than another 2025-style turning-point read-off.
  • Claude Opus 5: A domain or range multiple-choice item is close to certain in Section I, and a composite-function range question is the most likely Section II appearance for this topic.
Differential calculus 92% likely

Chance of a big question (4+ marks) here: 54%

Question types predicted here short answer ×8 multiple choice ×4 extended response ×2

What each model expects

  • DeepSeek V4: A question requiring differentiation of a function involving both exponential and trigonometric functions, then using the derivative to find a tangent or stationary point.
  • Claude Fable 5: C2 supplies the derivative half of the annual differentiate-then-'hence'-integrate pair plus one MC; a standalone 3-mark exact-gradient product-rule question at a pi-based point is its most likely visible form.
  • Gemini 3.1 Pro: A standalone differentiation question using the quotient rule, focusing heavily on algebraic simplification of the result.
  • GPT-5.6 Sol: A Section II differentiation item will combine two rules and then feed directly into a 'hence' integration or tangent part.
  • Grok 4.6: A product or quotient differentiation with a hence integral returns to the 2020–2024 pairing after 2025 reversed the hence direction.
  • Claude Opus 5: A 2-3 mark differentiation of a product involving a trigonometric or exponential factor, deliberately set up so its result feeds a later 'hence' integral in the same or a nearby question.
Graphing techniques 90% likely

Chance of a big question (4+ marks) here: 39%

Question types predicted here short answer ×8 multiple choice ×5 extended response ×2

What each model expects

  • DeepSeek V4: A transformation question where students must identify the sequence of transformations from an equation and then sketch the resulting graph, with a part on solving an inequality using the graph.
  • Claude Fable 5: One 3-mark find-the-constants transformation question plus one transformation MC; the parameter/solution-count device appears somewhere in the paper (F2 or T3 flavoured) for the third year in four.
  • Gemini 3.1 Pro: An MCQ testing the graphical effect of absolute values on a known function.
  • GPT-5.6 Sol: Graphing techniques will appear primarily through one transformation multiple-choice item and one short labelled-sketch or inequality task.
  • Grok 4.6: At least one transformation-matching MC; a second written parameter item is unlikely after 2025 Q30.
  • Claude Opus 5: Graphing techniques rebound from two light years with a 3-4 mark transformation question that supplies y = f(x) and demands kf(a(x + b)) + c with the transformed key points labelled.
Trigonometry & measure of angles (Y11) 90% likely

Chance of a big question (4+ marks) here: 63%

Question types predicted here extended response ×8 short answer ×7 multiple choice ×1

What each model expects

  • DeepSeek V4: A bearings question involving two legs of a journey, requiring cosine rule to find distance and sine rule to find bearing, with angles in degrees.
  • Claude Fable 5: After heavy 3D/bearings weighting in 2024-2025, the 2026 T1 anchor is a 4-5 mark bearings-plus-cosine-rule question, and the sine-rule ambiguous case (obtuse angle), untouched since 2021, is the most likely fresh twist.
  • Gemini 3.1 Pro: A 2D trigonometry question focusing on the ambiguous case of the sine rule, scaling back from the massive 3D problems of recent years.
  • GPT-5.6 Sol: Year 11 trigonometry will fall from its heavy 2025 allocation but retain one multi-step geometry, bearing or circular-measure problem.
  • Grok 4.6: A 2D sine/cosine-rule practical, quite possibly the ambiguous case; a third straight year of a 6–7 mark mountain or tower 3D epic is unlikely.
  • Claude Opus 5: A bearings or three-dimensional trigonometry question worth at least 4 marks whose final part demands a true bearing stated to the nearest degree.
Logarithms and exponentials (Y11) 90% likely

Chance of a big question (4+ marks) here: 55%

Question types predicted here short answer ×8 extended response ×4 multiple choice ×3

What each model expects

  • DeepSeek V4: A question on exponential growth/decay with a given model N(t) = A e^(kt), finding k from data, then doubling time, and rate of change.
  • Claude Fable 5: E1's substantive appearance is a 4-6 mark exponential-model question whose middle part requires isolating e^{-kt} before taking logs — the exact manipulation flagged as weak in 2020, 2021 and 2024 feedback.
  • Gemini 3.1 Pro: A classic exponential growth or decay modelling question will return as a mid-paper 4-marker.
  • GPT-5.6 Sol: Exponential and logarithmic functions will receive one compact standalone task, with a realistic chance of the first logarithmic-scale context of this examination cycle.
  • Grok 4.6: A standalone 4–5 mark growth or decay model (find k, instantaneous rate, solve for t) returns after 2025 left E1 without its own modelling question.
  • Claude Opus 5: Exponentials and logarithms surface as the solving step inside a financial or growth question rather than as a standalone item, most likely worth 2-3 marks of a longer part.
Descriptive statistics and bivariate data 88% likely

Chance of a big question (4+ marks) here: 59%

Question types predicted here extended response ×5 short answer ×5 multiple choice ×4 stimulus based ×1

What each model expects

  • DeepSeek V4: A bivariate data question with a scatterplot and regression line, asking for interpretation of slope and intercept in context, and commenting on reliability of prediction for an x-value outside the data range.
  • Claude Fable 5: The regression question shifts back from 2025's pure-interpretation format to a computational anchor — recovering the line through (x-bar, y-bar) or comparing two regression models via r — worth 4-6 marks around Q14-Q18.
  • Gemini 3.1 Pro: A conceptual question on residual plots and outliers, moving away from simple calculation and extrapolation of the regression line.
  • GPT-5.6 Sol: The statistics allocation will rotate from 2025 regression towards a cumulative-frequency, Pareto or box-plot comparison worth three or four marks.
  • Grok 4.6: After 2025’s full slope-intercept-predict-extrapolate regression item, 2026 is more likely parallel box-plots or a line built from (x̄,ȳ).
  • Claude Opus 5: A stimulus-first bivariate question worth 5-6 marks with separately marked parts for form and direction, contextual interpretation of slope and intercept, one prediction, and an extrapolation caveat.
Probability and discrete distributions (Y11) 84% likely may rest

Chance of a big question (4+ marks) here: 58%

Question types predicted here short answer ×8 extended response ×4 multiple choice ×2

What each model expects

  • DeepSeek V4: A conditional probability question involving a medical test with false positives/negatives, requiring a tree diagram and calculation of P(disease | positive).
  • Claude Fable 5: A 3-mark conditional-probability question with a 'given that' stem appears mid-paper, requiring the reduced-sample-space denominator; an 'at least one' complement calculation accompanies it somewhere (it appeared 2020, 2022, 2023, 2024).
  • GPT-5.6 Sol: A conditional-probability question will require a total-probability denominator rather than direct substitution into a single conditional formula.
  • Grok 4.6: A ‘given that’ conditional plus a discrete E(X) and σ table, after 2025 used Bayes-with-three-people and a trivial missing-p MC.
  • Claude Opus 5: A conditional probability question resolved by a tree diagram, with the reversal step - given the outcome, which branch occurred - carrying the discriminating mark.
Introduction to differentiation (Y11) 51% likely may rest

Chance of a big question (4+ marks) here: 40%

Question types predicted here short answer ×2

What each model expects

  • DeepSeek V4: A short-answer question on differentiation from first principles for a quadratic function, with a part evaluating the derivative at a point.

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Published Aug 2026, before the exams. In November 2026 we score these predictions publicly against the real paper — per-model calibration and question-level hit rates, the same harness as the 2025 backtest. How we did it.