FrontierSWE
34 ultra-long-horizon engineering and research tasks. 5 trials of up to 20 hours each. Score is mean task score 0-100.
This record is FrontierSWE v2 (2026-09-02), the version Epoch AI tracks. It added 21 tasks to reach 34 and runs every model in the proximus harness. v1 (April 2026, 17 tasks) has its own record.
- Level
- Research frontier Researchers, on open problems or tasks that take days
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Code A program or patch run against tests.
GPT-6 Astra leads with 65.5%
Best score per model in Epoch AI’s data. Where a model ran with several settings or harnesses, we keep its best.
- 65.5 GPT-6 Astra
- 62.3 Claude Opus 5.5
- 61.9 Claude Sonnet 5.5
- 56.3 Claude Fable 5.1
- 55.0
Gemini 4 Argon
- 52.0 Claude Opus 5
- 47.0 Claude Fable 5
- 43.8 Claude Haiku 5.5
- 32.2 GPT-5.6 Sol
- 30.2 GLM-5.3
- 29.5 Grok 4.7
- 25.9 Kimi K3
- 25.8
Muse Spark 1.3
- 25.3 Grok 4.6
- 20.3
Gemini 3.7 Flash
- 19.6
Gemini 3.8 Flash
- 18.1 GLM-5.3-Flash
- 17.8
Qwen3.8 Max (0902)
- 15.8
Qwen 3.8 Max
- 12.0
Muse Spark 1.2
- 4.12
Inkling
- 1 GPT-6 Astra max 65.5%
- 2 Claude Opus 5.5 max 62.3%
- 3 Claude Sonnet 5.5 max 61.9%
- 4 Claude Fable 5.1 max 56.3%
- 5
Gemini 4 Argon high 55%
- 6 Claude Opus 5 max 52%
- 7 Claude Fable 5 max 47%
- 8 Claude Haiku 5.5 max 43.8%
- 9 GPT-5.6 Sol max 32.2%
- 10 GLM-5.3 max 30.2%
- 11 Grok 4.7 xhigh 29.5%
- 12 Kimi K3 max 25.9%
- 13
Muse Spark 1.3 max 25.8%
- 14 Grok 4.6 xhigh 25.3%
- 15
Gemini 3.7 Flash high 20.3%
- 16
Gemini 3.8 Flash high 19.6%
- 17 GLM-5.3-Flash max 18.1%
- 18
Qwen3.8 Max (0902) xhigh 17.8%
- 19
Qwen 3.8 Max xhigh 15.8%
- 20
Muse Spark 1.2 xhigh 12%
- 21
Inkling xhigh 4.12%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 65.5% | max, proximus | Sep 2026 | Epoch AI |
| 2 | Claude Opus 5.5 | 62.3% | max, proximus | Sep 2026 | Epoch AI |
| 3 | Claude Sonnet 5.5 | 61.9% | max, proximus | Sep 2026 | Epoch AI |
| 4 | Claude Fable 5.1 | 56.3% | max, proximus | Sep 2026 | Epoch AI |
| 5 | | 55% | high, proximus | Sep 2026 | Epoch AI |
| 6 | Claude Opus 5 | 52% | max, proximus | Jul 2026 | Epoch AI |
| 7 | Claude Fable 5 | 47% | max, proximus | Jun 2026 | Epoch AI |
| 8 | Claude Haiku 5.5 | 43.8% | max, proximus | Oct 2026 | Epoch AI |
| 9 | GPT-5.6 Sol | 32.2% | max, proximus | Jul 2026 | Epoch AI |
| 10 | GLM-5.3 | 30.2% | max, proximus | Aug 2026 | Epoch AI |
| 11 | Grok 4.7 | 29.5% | xhigh, proximus | Sep 2026 | Epoch AI |
| 12 | Kimi K3 | 25.9% | max, proximus | Jul 2026 | Epoch AI |
| 13 | | 25.8% | max, proximus | Sep 2026 | Epoch AI |
| 14 | Grok 4.6 | 25.3% | xhigh, proximus | Aug 2026 | Epoch AI |
| 15 | | 20.3% | high, proximus | Aug 2026 | Epoch AI |
| 16 | | 19.6% | high, proximus | Sep 2026 | Epoch AI |
| 17 | GLM-5.3-Flash | 18.1% | max, proximus | Aug 2026 | Epoch AI |
| 18 | | 17.8% | xhigh, proximus | Sep 2026 | Epoch AI |
| 19 | | 15.8% | xhigh, proximus | Aug 2026 | Epoch AI |
| 20 | | 12% | xhigh, proximus | Aug 2026 | Epoch AI |
| 21 | | 4.12% | xhigh, proximus | Jul 2026 | Epoch AI |
Labs report scores for 9 models in their cards. We plot every source in the charts below.
2 models have held number one since its release in Sep 2026
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for Epoch AI’s runs and what labs claim in their cards.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
2 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 28 Oct 2026 | 61.2 | FrontierSWE 2 | |
| 13 Oct 2026 | 75.2 | FrontierSWE | |
| 13 Oct 2026 | 55 | FrontierSWE v2 |
7 system cards report it, from 4 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 13 Oct 2026 | | 55 | FrontierSWE v2 (results table, p.5) | Capabilities |
| 7 Oct 2026 | Claude Haiku 5.5 system card | 43.8 | FrontierSWE v2, max effort, Proximal harness, five trials per task (8.6) | Capabilities |
| 28 Sep 2026 | Claude Sonnet 5.5 system card | 61.9 | FrontierSWE v2, mean of five trials, Proximal harness at max effort (8.7) | Capabilities |
| 22 Sep 2026 | Claude Opus 5.5 system card | 62.3 | FrontierSWE v2, mean of five trials per task, Proximal harness at max effort (8.7) | Capabilities |
| 21 Sep 2026 | Grok 4.7 model card | 29 | FrontierSWE V2, mean@5 partial-credit score, xhigh, run by Proximal Labs (2.4) | Capabilities |
| 10 Sep 2026 | | 32.9 | FrontierSWE v2, no-GPU public subset, Mean@5, multi-agent Agent Team mode at 20h deadline (Figure 10 text). Single-agent 28.2 | Capabilities |
| 1 Sep 2026 | Claude Fable 5.1 system card | 57 | FrontierSWE v2, mean score 0.57 on a 0 to 1 scale, max effort, Proximal harness, 5 trials per task (8.5) | Capabilities |
Versions
More in Coding
- SWE-bench Verified In use 500 human-validated GitHub issues from 12 Python repos. Agent writes a patch that must pass hidden tests. Claude Opus 4.7 83.5%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Opus 5.5 93.9%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471