- 6 mo0%GPT-5.5+4.4 pts
- 1 yrtest didn’t exist yet
- 2 yrtest didn’t exist yet
- 3 yrtest didn’t exist yet
Mathematics
Competition math, open research problems and formal proofs.
Progress over time
Competition math (AIME-level problems)
Saturatedlast data Apr 2026- 6 mosame record as now
- 1 yr91%GPT-5 (high)+8.6 pts
- 2 yr47%o1-mini (high)+53 pts
- 3 yr2.5%Claude 2.0+98 pts
- 6 mo35 pointsGemini Deep Think+7 points
- 1 yr35 pointsGemini Deep Think+7 points
- 2 yr28 pointsAlphaProof + AlphaGeometry 2+14 points
- 3 yrno result yet
- 6 mo88%GPT-5.5 Pro+7.4 pts
- 1 yr55%GPT-5 (high)+40 pts
- 2 yrno result yet
- 3 yrtest didn’t exist yet
- 6 mo78%GPT-5.5 Pro+22 pts
- 1 yr22%GPT-5+78 pts
- 2 yrtest didn’t exist yet
- 3 yrtest didn’t exist yet
Charts
Open research problems solved by AI (FrontierMath Erdős)
Share of 68 significant open Erdős problems a model solves with a machine-checked proof, in one attempt with a ~$300 budget.
What this measures: Unlike exam-style tests, nobody knew the answers to these problems when the test was made. A model only scores if the Lean proof checker accepts its proof or disproof.
Plotted at model release dates (the benchmark launched 1 September 2026, so earlier models were evaluated retroactively). Outside the official one-attempt rules, 17 of the 68 problems have now been solved by some means, including 12 credited to OpenAI's 6 October research release. Contamination risk grows as solutions are published.
Show data table and sources
| Date | Label | Value |
|---|---|---|
| 23 Apr 2026 | GPT-5.5 | 0% |
| 3 Sept 2026 | GPT-6 Astra (pre-release) | 2.9% |
| 29 Sept 2026 | GPT-6.1 Sol | 4.4% |
- Announcing FrontierMath Erdős (Epoch AI)
- FrontierMath Erdős benchmark page (Epoch AI)
- Epoch AI benchmark data (CSV export) (Epoch AI)
Erdős problems with a computer-checked solution
Problems in the community Erdős problems database whose solution has been formalized in the Lean proof checker, at the end of each month.
What this measures: Paul Erdős left behind more than a thousand math problems. This counts how many have a solution that the Lean proof checker has verified step by step, whether the proof came from a human or an AI.
Counts solutions from any source, human or AI, so this is not a count of AI solutions. Early growth partly reflects the database being built. The sources don't explain the August 2026 jump. Since 6 October 2026 erdosproblems.com no longer shows solved counts, and the 12 FrontierMath Erdős problems Epoch AI credits to OpenAI's 6 October release are not yet included. Each point is the last row of its month in the database's statistics_history.csv.
Show data table and sources
| Date | Label | Value |
|---|---|---|
| 30 Sept 2025 | 3 problems | |
| 31 Dec 2025 | 38 problems | |
| 31 Jan 2026 | 69 problems | |
| 28 Feb 2026 | 110 problems | |
| 31 Mar 2026 | 124 problems | |
| 30 Apr 2026 | 167 problems | |
| 31 May 2026 | 186 problems | |
| 30 Jun 2026 | 199 problems | |
| 31 Jul 2026 | 207 problems | |
| 31 Aug 2026 | 292 problems | |
| 28 Sept 2026 | 317 problems | |
| 29 Oct 2026 | 318 problems | |
| 6 Nov 2026 | 318 problems |
- teorth/erdosproblems statistics_history.csv (Erdős problems community database (Tao et al.))
- teorth/erdosproblems STATISTICS.md (Erdős problems community database)
Competition math (AIME-style problems)
Best independently measured score on Epoch AI's OTIS Mock AIME 2024–25 (45 problems), by model release date.
What this measures: Problems from the level of the American Invitational Mathematics Examination, the qualifier for the US Math Olympiad team. In 2023 the best AI solved almost none.
Saturated · last data Apr 2026: Top models score 100% (GPT-5.5 Pro, April 2026), so this test can no longer show progress and labs stopped reporting it. Now watch: FrontierMath and FrontierMath Erdős (open problems).
Release dates for GPT-4 (0613), Claude 2.0, Claude 3 Opus and Llama 3.1 are the models' public release dates. Each problem is worth about 2.2 points. Labs stopped reporting AIME in 2026 because top models solve it all.
Show data table and sources
| Date | Label | Value |
|---|---|---|
| 14 Mar 2023 | GPT-4 (0314) | 0.6% |
| 13 Jun 2023 | GPT-4 (0613) | 1.1% |
| 11 Jul 2023 | Claude 2.0 | 2.5% |
| 4 Mar 2024 | Claude 3 Opus | 4.7% |
| 9 Apr 2024 | GPT-4 Turbo (Apr 2024) | 6.7% |
| 23 Jul 2024 | Llama 3.1 405B | 9.7% |
| 12 Sept 2024 | o1-mini (high) | 47% |
| 17 Dec 2024 | o1 (high) | 73% |
| 31 Jan 2025 | o3-mini (high) | 77% |
| 16 Apr 2025 | o3 | 84% |
| 7 Aug 2025 | GPT-5 (high) | 91% |
| 11 Dec 2025 | GPT-5.2 (high) | 96% |
| 5 Mar 2026 | GPT-5.4 | 98% |
| 23 Apr 2026 | GPT-5.5 Pro | 100% |
- OTIS Mock AIME 2024–2025 (Epoch AI Benchmarking Hub) (Epoch AI)
- Epoch AI benchmark runs (CSV, CC BY 4.0) (Epoch AI)
- MathArena: AIME 2026 (MathArena (ETH Zurich))
Best AI score at the International Mathematical Olympiad
Points out of 42 on the year's IMO paper, for results graded by or reported as graded by IMO coordinators.
What this measures: The International Mathematical Olympiad is the world's top math contest for high-school students: six proof problems, 42 points in total. Gold usually needs about 29–35.
- Best AI score
- Reference level
Saturated: AI systems were reported to reach a perfect 42/42 in 2026, so the contest can't show further progress. The next frontier is open research problems. Now watch: FrontierMath Erdős and Erdős problems solved.
Gold-medal cutoffs: 35 (2025), 29 (2026). The 2026 results were reported by Chinese media and the companies; we found no statement published by the IMO itself.
Show data table and sources
| Date | Label | Value |
|---|---|---|
| 25 Jul 2024 | AlphaProof + AlphaGeometry 2 | 28 points |
| 21 Jul 2025 | Gemini Deep Think | 35 points |
| 22 Jul 2026 | dots-note-3.0 / Huawei Celia | 42 points |
| Perfect score | 42 points |
- Advanced version of Gemini with Deep Think officially achieves gold-medal standard (Google DeepMind)
- AI catches up with humans to score 100% at top maths contest (France 24 / AFP)
- dots-note-3.0 IMO 2026 perfect score (Chinese) (China Daily)
FrontierMath: hard math problems solved
Best score on Epoch AI's FrontierMath (corrected v2 set), plotted at each model's release date.
What this measures: Hundreds of unpublished problems written by mathematicians. Tiers 1–3 are advanced; Tier 4 is research-level. Answers are checked automatically.
- Tiers 1–3 (advanced)
- Tier 4 (research-level)
Tier 4 (research-level), Saturated: Epoch AI considers Tier 4 saturated: GPT-6 Astra solved the last problem no model had solved (September 2026), and GPT-6.1 Sol scores 100%. Now watch: FrontierMath Erdős (68 genuinely open problems).
Epoch AI re-ran older models on the corrected v2 problem set (June 2026), so early points come from those re-runs. OpenAI funded FrontierMath and has access to many problems; Epoch keeps a held-out set. Answers are checked automatically. These are not proofs of open problems.
Show data table and sources
| Series | Date | Label | Value |
|---|---|---|---|
| Tiers 1–3 (advanced) | 17 Dec 2024 | o1 (high) | 15% |
| Tiers 1–3 (advanced) | 31 Jan 2025 | o3-mini (high) | 19% |
| Tiers 1–3 (advanced) | 16 Apr 2025 | o4-mini (high) | 36% |
| Tiers 1–3 (advanced) | 7 Aug 2025 | GPT-5 (high) | 55% |
| Tiers 1–3 (advanced) | 11 Dec 2025 | GPT-5.2 Pro | 74% |
| Tiers 1–3 (advanced) | 5 Mar 2026 | GPT-5.4 Pro | 83% |
| Tiers 1–3 (advanced) | 23 Apr 2026 | GPT-5.5 Pro | 88% |
| Tiers 1–3 (advanced) | 9 Jul 2026 | GPT-5.6 Sol | 89% |
| Tiers 1–3 (advanced) | 1 Sept 2026 | Claude Fable 5.1 | 90% |
| Tiers 1–3 (advanced) | 3 Sept 2026 | GPT-6 Astra | 94% |
| Tiers 1–3 (advanced) | 9 Nov 2026 | Claude Fable 5.2 (max) | 95% |
| Tier 4 (research-level) | 16 Apr 2025 | o4-mini | 4.9% |
| Tier 4 (research-level) | 7 Aug 2025 | GPT-5 | 22% |
| Tier 4 (research-level) | 11 Dec 2025 | GPT-5.2 Pro | 46% |
| Tier 4 (research-level) | 5 Mar 2026 | GPT-5.4 Pro | 59% |
| Tier 4 (research-level) | 23 Apr 2026 | GPT-5.5 Pro | 78% |
| Tier 4 (research-level) | 9 Jun 2026 | Claude Fable 5 | 90% |
| Tier 4 (research-level) | 3 Sept 2026 | GPT-6 Astra | 98% |
| Tier 4 (research-level) | 29 Sept 2026 | GPT-6.1 Sol (max) | 100% |
| Tier 4 (research-level) | 9 Nov 2026 | Claude Fable 5.2 (max) | 100% |
- Epoch AI benchmark data (CSV export) (Epoch AI)
- FrontierMath Tier 4 benchmark page (Epoch AI)
Entries
Big news
Claude Fable 5.2 ranks first overall in independent tests (174 vs 169), but not on science
Anthropic released it on 9 November 2026. Independent tests put it level with rivals on hard maths and behind them on PhD-level science.
174.2Epoch AI's combined test score, a new high (GPT-6 Astra: 169.2)
Myth check: “AI can't create new knowledge, it only remixes its training data”
Verdict: FalseAI disproved an 80-year-old conjecture and designed antibiotics that worked in mice. Real finds come where answers can be checked.
Notable
OpenAI says its AI disproved a core assumption of computer science; experts are reviewing it
OpenAI claims an AI-found algorithm refutes the Exponential Time Hypothesis, with a checked proof. The idea's originators are reviewing it.
Subexponentialclaimed speed on a classic logic problem; if correct, ETH is false
OpenAI posted 721 AI-written maths papers; by its count, about 42% have computer-checked proofs
An unnamed OpenAI model was set about 4,000 open problems and wrote up the results it claims. Most still await review by human experts.
721AI-written maths papers in OpenAI's public collection (9 Nov 2026)
Experts call an OpenAI model's proof a major step towards the Riemann Hypothesis, not a solution
The Riemann Hypothesis says key zeros of a famous function all have real part 1/2. An AI proof shows none lie beyond 7/8, a first.
Re(s) > 7/8zero-free zone proved and computer-checked (the hypothesis says 1/2)
Hype check: “AI solved the Navier–Stokes Millennium Prize problem”
Verdict: MisleadingOpenAI's proof needs a designed outside force pushing the fluid, which the prize rules allow. A fluid left alone is still an open question.
Notable
AI's best score on research-level maths problems went from 6% to 98% in about 14 months
In July 2025 the best AI solved 6% of Epoch AI's hardest, professor-written maths problems. By September 2026 top models scored 97.6–100%.
6% → 98%best AI score on FrontierMath Tier 4, July 2025 → Sept 2026
OpenAI claims an AI proof that fluid equations can blow up, but only with a designed outside force
OpenAI says its AI proved fluids can break down, part of a $1 million prize problem. The force-free case is still open; credit is disputed.
10,000+ agents, 88 hoursOpenAI's own figures for the AI run behind the claimed proof
With heavy AI help, two mathematicians proved three fluid equations can break down
Levent Alpöge and Tristan Buckmaster's checked proofs need a smooth outside push. The famous case of a fluid left alone is still open.
3fluid equations shown to break down under a smooth outside force
Notable
Claude agents built a computer-checked proof of Fermat's Last Theorem in 11 days, Anthropic says
Claude agents made Wiles's proof checkable by computer, a job experts expected to take years. It checked a known proof; no new maths.
~13 million linesof Lean proof code, accepted by two independent proof checkers
AI has solved dozens of obscure Erdős problems, but only 3 of 68 major ones under strict rules
Counting every effort, AI has solved 17 of 68 major open Erdős problems. Under Epoch AI's strict test rules, the best model solves 3.
3 of 68major open Erdős problems the best model solves under strict rules
OpenAI's unreleased Astra AI produced 10 research results, each with a computer-checked proof
The 10 results include three Erdős problems, and anyone can re-check the proofs by computer. OpenAI reported only its successes.
10 of 10results with a computer-checked proof, for about },000 of computing
Notable
Two Chinese AI systems were reported to score a perfect 42 of 42 at the 2026 Maths Olympiad
AI from Xiaohongshu and Huawei was reported as officially graded 42 of 42. Seven of 666 students also got full marks. In 2024 AI scored 28.
42/42best AI score at the 2026 Maths Olympiad (gold needed 29)
Mathematicians gave AI 10 unpublished research problems; the best system solved 6
Four AI systems tried 10 research problems that had never been published. Referees graded the answers like journal papers.
6 of 10unpublished research problems solved by the best AI system
Google DeepMind's AI solved 9 open Erdős maths problems, with every proof computer-checked
AlphaProof Nexus also settled 44 of 492 conjectures about number sequences, for a few hundred dollars each. It failed on most it tried.
9 of 353open Erdős problems solved with computer-checked proofs (about 2.5%)
Big news
An OpenAI model disproved an 80-year-old Erdős geometry conjecture; mathematicians checked it
An unreleased OpenAI model found a counterexample few experts expected. Mathematicians checked it the same day; one called it AI's best yet.
n^1.014pairs exactly one unit apart among n points, more than Erdős predicted
An AI finished making a Fields Medal proof about packing spheres fully computer-checked
A team began in 2024 to turn Maryna Viazovska's proof into code a computer can check. Math Inc's AI, Gauss, finished it in February 2026.
Dimension 8densest sphere packing in 8 dimensions: proof fully computer-checked
AI helped find fragile new ways fluid equations break down: precise numbers, not proofs
Researchers at Google DeepMind, Brown, NYU and Stanford used AI to find them. They give mathematicians precise leads, not proofs.
Near machine precisionaccuracy of some solutions: close to the limit of computer arithmetic
AI from Google and OpenAI hit gold-medal level at the 2025 Maths Olympiad: 35 of 42 points
Two AI systems solved 5 of 6 problems with plain-language proofs, in the time limits. The contest graded Google's; OpenAI chose its graders.
35/42points at the 2025 Maths Olympiad, exactly the gold-medal cutoff
A Google AI beat a 56-year-old maths record and freed up 0.7% of Google's computing power
AlphaEvolve multiplies 4×4 grids of complex numbers in 48 steps, not 49, and beat the best known answer on about 20% of 50+ open problems.
48multiplications to multiply two 4×4 grids of complex numbers (was 49)
Outdated: GPT-5 only found old Erdős answers (2025). AI has since solved 17 of 68 major ones
In 2025 an OpenAI executive said GPT-5 solved 10 open Erdős problems; it had found old answers. Since 2026, AI solves open ones itself.
17 of 68major open Erdős problems solved by AI (3 under strict test rules)