FrontierMath Tiers 1-3 leaderboard
FrontierMath Tiers 1-3 leaderboard: percent of expert-written, unpublished math problems solved by each LLM, plotted against API price. Current leader: GPT-6 Astra at 98.61 (% solved).
GPT-6 Astra leads FrontierMath Tiers 1-3 with 98.6 at $50.0 per 1M output tokens. GPT-6.1 Sol follows at 98.6.
GPT-6.1 Sol scores 98.6, 0 points off the leader, for $10.0 per 1M output tokens, about 5.0x cheaper.
GPT-6 Luna is the cheapest model scoring 80+ (83.1), at $0.50 per 1M output tokens.
Kimi K3 is the best open-weight model at 76.0, 22.6 points behind the leader, at $11.9 per 1M output tokens.
Cost vs quality
FrontierMath Tiers 1-3: score against cost
Each dot is a model. Top-left is best: a high score for a low cost. The dashed line is the value frontier.
FrontierMath Tiers 1-3 leaderboard
| Model | % solved | Output $ / 1M | Released |
|---|---|---|---|
| 1 | 98.6 | $50.0 | Sep 2026 |
| 2 | 98.6 | $10.0 | Sep 2026 |
| 3 | 96.0 | $20.0 | Sep 2026 |
| 4 | 94.9 | $50.0 | Sep 2026 |
| 5 | 94.5 | $10.0 | Sep 2026 |
| 6 | 93.8 | $20.0 | Jul 2026 |
| 7 | 93.4 | $10.0 | Sep 2026 |
| 8 | 92.3 | $180 | Apr 2026 |
| 9 | 91.6 | $50.0 | Jun 2026 |
| 10 | 90.5 | $10.0 | Sep 2026 |
| 11 | 90.5 | $12.0 | Jul 2026 |
| 12 | 90.1 | $25.0 | Jul 2026 |
| 13 | 89.8 | $30.0 | Apr 2026 |
| 14 | 86.8 | $180 | Mar 2026 |
| 15Muse Wonder | 86.4 | — | Oct 2026 |
| 16 | 86.4 | $1.20 | Jul 2026 |
| 17 | 84.2 | $25.0 | May 2026 |
| 18 | 83.1 | $0.50 | Sep 2026 |
| 19 | 82.7 | $15.0 | Mar 2026 |
| 20 | 79.0 | $0.50 | Oct 2026 |
| 21 | 78.7 | — | Jul 2026 |
| 22Muse Spark 1.3 | 78.3 | — | Sep 2026 |
| 23 | 77.9 | — | Dec 2025 |
| 24 | 76.0 | $11.9 | Jul 2026 |
| 25 | 75.3 | $3.75 | Aug 2026 |
| 26 | 73.9 | $25.0 | Apr 2026 |
| 27Muse Spark OpenOpen | 73.5 | — | Oct 2026 |
| 28 | 72.4 | $1.40 | Aug 2026 |
| 29 | 72.0 | $4.13 | Sep 2026 |
| 30 | 71.0 | — | Dec 2025 |
| 31 | 70.9 | $1.20 | Sep 2026 |
| 32 | 69.4 | $6.00 | Aug 2026 |
| 33 | 69.4 | $25.0 | Feb 2026 |
| 34 | 69.1 | $6.00 | Sep 2026 |
| 35 | 69.1 | $10.0 | Jun 2026 |
| 36 | 68.0 | $4.42 | May 2026 |
| 37 | 68.0 | $1.98 | Aug 2026 |
| 38 | 66.1 | $9.00 | May 2026 |
| 39 | 62.8 | $12.0 | Feb 2026 |
| 40 | 62.3 | $7.00 | Jun 2026 |
| 41 | 62.0 | $3.75 | Jul 2026 |
| 42 | 61.7 | $4.18 | Oct 2026 |
| 43 | 60.6 | $1.32 | Jul 2026 |
| 44 | 60.2 | $6.00 | Jul 2026 |
| 45 | 60.2 | $3.41 | Apr 2026 |
| 46 | 58.7 | $0.20 | Aug 2026 |
| 47 | 58.7 | — | Oct 2025 |
| 48 | 58.4 | — | Aug 2025 |
| 49 | 56.9 | $3.35 | Jun 2026 |
| 50 | 55.8 | $6.00 | Sep 2026 |
| 51 | 53.9 | — | Dec 2025 |
| 52 | 53.9 | $4.50 | Mar 2026 |
| 53 | 49.1 | — | Aug 2025 |
| 54Inkling-SmallOpen | 48.8 | — | Jul 2026 |
| 55 | 47.6 | $1.91 | Apr 2026 |
| 56 | 47.3 | $2.50 | Feb 2026 |
| 57 | 47.3 | $1.25 | Mar 2026 |
| 58 | 45.1 | — | Apr 2026 |
| 59 | 40.3 | $1.95 | Apr 2026 |
| 60 | 38.8 | $4.40 | Apr 2026 |
| 61 | 38.0 | — | Apr 2025 |
| 62 | 36.9 | $2.00 | Apr 2026 |
| 63 | 36.2 | — | Nov 2025 |
| 64 | 36.2 | $1.28 | Jun 2026 |
| 65InklingOpen | 35.1 | — | Jul 2026 |
| 66 | 35.1 | — | Dec 2024 |
| 67 | 32.9 | $3.60 | Feb 2026 |
| 68 | 29.2 | $1.50 | Mar 2026 |
| 69 | 27.7 | — | May 2026 |
| 70 | 27.3 | $2.50 | Jul 2026 |
| 71 | 25.9 | — | Jun 2025 |
| 72 | 25.1 | — | Sep 2025 |
| 73 | 23.6 | $1.13 | Apr 2026 |
| 74 | 21.4 | — | Apr 2026 |
| 75 | 21.1 | — | Aug 2025 |
| 76 | 20.3 | $0.13 | Jul 2026 |
| 77 | 19.9 | — | Jan 2026 |
| 78 | 19.6 | — | Jan 2025 |
| 79 | 19.2 | — | Feb 2026 |
| 80 | 15.5 | — | Dec 2024 |
| 81 | 13.3 | — | Aug 2025 |
| 82 | 7.0 | — | Apr 2025 |
| 83 | 6.3 | — | Apr 2025 |
| 84 | 0.7 | — | Apr 2024 |
| 85 | 0.7 | — | Jul 2024 |
| 86 | 0.4 | — | Aug 2024 |
| 87 | 0 | — | Jan 2024 |
Scores from Epoch AI, updated —. Cost is joined from our daily API pricing where a model matches; models we do not price still appear with their score. Always verify on the benchmark's own site before relying on a number.
What FrontierMath Tiers 1-3 measures
FrontierMath is a set of original, unpublished math problems written and vetted by expert mathematicians and maintained by Epoch AI. The problems range across most major branches of modern mathematics, from computation-heavy number theory and real analysis to abstract questions in algebraic geometry and category theory. Epoch describes a typical problem as needing several hours of work from a researcher in the relevant field, and the hardest as needing days. Tiers 1-3 is the base set of 295 problems, running from advanced undergraduate material up to early-career research level. A harder 43-problem expansion is tracked separately as Tier 4.
Every problem has a single exact answer that can be checked automatically, so grading needs no judge model. For each question the model submits a Python function that returns its answer, and the score is the share of problems solved. Because the questions are unpublished, the numbers on this page come from Epoch's private set, which makes memorizing answers from training data much harder than on a public benchmark.
How to read this page
The chart plots each model's score against its output price per 1M tokens. Output price is the sensible proxy here because a solve usually comes from a long reasoning trace, while the problem statement is short. Epoch reports each model at its best-performing reasoning effort, so the leaderboard shows what a model can do when it is allowed to think at length, and the bill for that is larger than the list price of a quick reply suggests.
Limitations
Epoch revised the dataset on 2026-06-12 after finding errors in 42% of the earlier problems, so scores before and after that update are not comparable and this page uses only the revised set. The top models now solve most of the Tiers 1-3 problems, so differences of a point or two among the leaders are within the noise of a 295-question test; the harder Tier 4 page does more to separate them. Epoch also discloses that FrontierMath was developed with funding from OpenAI, which has exclusive access to a subset of the problems. Only twelve problems are public, so outsiders cannot audit the rest. Finally, exact-answer grading rewards getting the number right, not producing a sound proof.