FrontierMath v2 Tier 4 (FrontierMath v2 (Tier 4))
Epoch AI's corrected v2 Tier 4 expansion, a separate set of exceptionally difficult research-level mathematics problems evaluated with Python-enabled iterative reasoning.
Top models on FrontierMath v2 (Tier 4) — October 29, 2026
As of October 29, 2026, GPT-6.1 Sol leads the FrontierMath v2 (Tier 4) leaderboard with 100.000% , followed by GPT-6 Astra (97.600%) and Claude Opus 5.5 (95.000%).
GPT-6.1 Sol
OpenAI
GPT-6 Astra
OpenAI
Claude Opus 5.5
Anthropic
55 modelsMathematics10% of category scoreCurrentUpdated October 29, 2026
Leaderboard (55 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | GPT-6.1 SolOpenAI | 100.000% | Not reported | Closed |
| 2 | GPT-6 AstraOpenAI | 97.600% | Not reported | Closed |
| 3 | Claude Opus 5.5Anthropic | 95.000% | Not reported | Closed |
| 4 | GPT-6.1 TerraOpenAI | 92.683% | Not reported | Closed |
| 5 | Claude Fable 5Anthropic | 90.200% | Not reported | Closed |
| 6 | GPT-6 SolOpenAI | 90.000% | Not reported | Closed |
| 7 | Claude Fable 5.1Anthropic | 87.805% | Not reported | Closed |
| 8 | GPT-5.6 SolOpenAI | 83.000% | Not reported | Closed |
| 9 | Claude Sonnet 5.5Anthropic | 80.488% | Not reported | Closed |
| 10 | Gemini 4 ArgonGoogle | 78.049% | Not reported | Closed |
| 11 | GPT-5.5 ProOpenAI | 78.049% | Not reported | Closed |
| 12 | Claude Opus 5Anthropic | 73.171% | Not reported | Closed |
| 13 | GPT-5.5OpenAI | 72.500% | Not reported | Closed |
| 14 | GPT-5.6 TerraOpenAI | 68.300% | Not reported | Closed |
| 15 | GPT-5.4 ProOpenAI | 58.537% | Not reported | Closed |
| 16 | GPT-5.6 LunaOpenAI | 58.500% | Not reported | Closed |
| 17 | Claude Opus 4.8Anthropic | 56.098% | Not reported | Closed |
| 18 | GPT-6 LunaOpenAI | 56.098% | Not reported | Closed |
| 19 | GPT-5.4OpenAI | 49.000% | Not reported | Closed |
| 20 | Qwen3.8 MaxAlibaba | 46.341% | Not reported | Open |
| 21 | Claude Haiku 5.5Anthropic | 46.341% | Not reported | Closed |
| 22 | Muse Spark 1.3Meta | 46.341% | Not reported | Closed |
| 23 | Gemini 3.7 FlashGoogle | 36.585% | Not reported | Closed |
| 24 | Qwen3.7 MaxAlibaba | 34.146% | Not reported | Closed |
| 25 | Grok 4.6xAI | 31.707% | Not reported | Closed |
| 26 | Claude Opus 4.7Anthropic | 31.707% | Not reported | Closed |
| 27 | GPT-5.2OpenAI | 31.700% | Not reported | Closed |
| 28 | Claude Sonnet 5Anthropic | 29.268% | Not reported | Closed |
| 29 | GLM-5.2Z.AI | 29.268% | Not reported | Open |
| 30 | GLM-5.3Z.AI | 29.268% | Not reported | Open |
| 31 | Gemini 3.1 ProGoogle | 26.829% | Not reported | Closed |
| 32 | Gemini 3.5 FlashGoogle | 26.829% | Not reported | Closed |
| 33 | Claude Opus 4.6Anthropic | 26.829% | Not reported | Closed |
| 34 | DeepSeek V4.1 Flash 1017DeepSeek | 26.829% | Not reported | Open |
| 35 | Kimi K2.6Moonshot AI | 25.641% | Not reported | Open |
| 36 | Grok 4.5xAI | 24.390% | Not reported | Closed |
| 37 | Gemini 3.8 FlashGoogle | 21.951% | Not reported | Closed |
| 38 | Gemini 3.6 FlashGoogle | 21.951% | Not reported | Closed |
| 39 | Inkling-SmallThinking Machines Lab | 17.073% | Not reported | Open |
| 40 | Gemini 3 FlashGoogle | 17.073% | Not reported | Closed |
| 41 | GLM-5.3-FlashZ.AI | 17.073% | Not reported | Open |
| 42 | Grok 4.7xAI | 17.073% | Not reported | Closed |
| 43 | Grok 4.3xAI | 14.634% | Not reported | Closed |
| 44 | Kimi K2.7 CodeMoonshot AI | 12.195% | Not reported | Open |
| 45 | GPT-5.4 nanoOpenAI | 12.195% | Not reported | Closed |
| 46 | GPT-5 miniOpenAI | 12.195% | Not reported | Closed |
| 47 | GPT-5.4 miniOpenAI | 9.756% | Not reported | Closed |
| 48 | InklingThinking Machines Lab | 4.878% | Not reported | Open |
| 49 | Claude Opus 4.5Anthropic | 4.878% | Not reported | Closed |
| 50 | o4-mini (high)OpenAI | 4.878% | Not reported | Closed |
| 51 | Claude Sonnet 4.5Anthropic | 2.439% | Not reported | Closed |
| 52 | DeepSeek V4 ProDeepSeek | 2.439% | Not reported | Open |
| 53 | GPT-5 nanoOpenAI | 2.439% | Not reported | Closed |
| 54 | Gemini 2.5 ProGoogle | 0.000% | Not reported | Closed |
| 55 | Gemini 3.5 Flash-LiteGoogle | 0.000% | Not reported | Closed |
According to BenchLM.ai, GPT-6.1 Sol leads the FrontierMath v2 (Tier 4) benchmark with a score of 100.000%, followed by GPT-6 Astra (97.600%) and Claude Opus 5.5 (95.000%). There is significant spread across the leaderboard, making this benchmark effective at differentiating model capabilities.
55 models have been evaluated on FrontierMath v2 (Tier 4). The benchmark falls in the Mathematics category. The Mathematics leaderboard ranks models by a weighted category score, and FrontierMath v2 (Tier 4) contributes 10% of it. BenchAlign v5.8 also uses it in the overall ranking.
About FrontierMath v2 (Tier 4)
Year
2026
Tasks
41 private extreme-difficulty mathematics problems
Format
Python-enabled iterative mathematical problem solving
Difficulty
Research-level mathematics requiring hours or days of expert work
FrontierMath v2 Tier 4 contains 43 problems, including two public examples. Published scores use the 41 private problems. Its smaller sample makes individual scores noisier than Tiers 1-3, so it is a separate ranking factor with lower weight rather than being averaged into the core score.
Freshness and provenance
Version
FrontierMath v2 (Tier 4) 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does FrontierMath v2 (Tier 4) measure?
Epoch AI's corrected v2 Tier 4 expansion, a separate set of exceptionally difficult research-level mathematics problems evaluated with Python-enabled iterative reasoning.
Which model scores highest on FrontierMath v2 (Tier 4)?
GPT-6.1 Sol by OpenAI currently leads with a score of 100.000% on FrontierMath v2 (Tier 4).
How many models are evaluated on FrontierMath v2 (Tier 4)?
55 AI models have published results on FrontierMath v2 (Tier 4) in the BenchLM catalog.
Compare top models on FrontierMath v2 (Tier 4)
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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