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 (September 2nd, 2026), 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.
- Made by
- Proximal
- Released
- September 2026
- Kind
- Building whole projects
- Level
- Research frontier
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- All public
- Strongest model tested
- Claude Fable 5.2 #1 on the capability index
- Last in a launch post
- November 2026
- Last model added
- November 2026
- Scores refreshed
- November 13th, 2026
Claude Fable 5.2 leads with 69.9%
Best score per model from the benchmark's own leaderboard, read on November 13th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
Ling-3.1-flash leads with 75.2%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 69.9 Claude Fable 5.2
- 65.5 GPT-6 Astra
- 62.3 Claude Opus 5.5
- 61.9 Claude Sonnet 5.5
- 61.2
Gemini 4 Carbon
- 56.3 Claude Fable 5.1
- 55.0
Gemini 4 Argon
- 53.1
Gemini 4 Hydrogen
- 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
- 14.8
DeepSeek-V4-Flash-Vision-Exp
- 12.0
Muse Spark 1.2
- 4.12
Inkling
- 1 Claude Fable 5.2 mean@5 69.9%
- 2 GPT-6 Astra mean@5 65.5%
- 3 Claude Opus 5.5 mean@5 62.3%
- 4 Claude Sonnet 5.5 mean@5 61.9%
- 5
Gemini 4 Carbon mean@5 61.2%
- 6 Claude Fable 5.1 mean@5 56.3%
- 7
Gemini 4 Argon mean@5; Cache hit rate is much lower due to a non-production setting. 55%
- 8
Gemini 4 Hydrogen mean@5 53.1%
- 9 Claude Opus 5 mean@5 52%
- 10 Claude Fable 5 mean@5 47%
- 11 Claude Haiku 5.5 mean@5 43.8%
- 12 GPT-5.6 Sol mean@5 32.2%
- 13 GLM-5.3 mean@5 30.2%
- 14 Grok 4.7 mean@5 29.5%
- 15 Kimi K3 mean@5 25.9%
- 16
Muse Spark 1.3 mean@5 25.8%
- 17 Grok 4.6 mean@5 25.3%
- 18
Gemini 3.7 Flash mean@5 20.3%
- 19
Gemini 3.8 Flash mean@5 19.6%
- 20 GLM-5.3-Flash mean@5 18.1%
- 21
Qwen3.8 Max (0902) mean@5 17.8%
- 22
Qwen 3.8 Max mean@5 15.8%
- 23
DeepSeek-V4-Flash-Vision-Exp mean@5 14.8%
- 24
Muse Spark 1.2 mean@5 12%
- 25
Inkling mean@5 4.12%
Source: Official FrontierSWE leaderboard
- 75.2
Ling-3.1-flash
- 69.9 Claude Fable 5.2
- 65.5 GPT-6 Astra
- 62.3 Claude Opus 5.5
- 61.9 Claude Sonnet 5.5
- 61.2
Gemini 4 Carbon
- 57.0 Claude Fable 5.1
- 55.0
Gemini 4 Argon
- 53.1
Gemini 4 Hydrogen
- 52.0 Claude Opus 5
- 47.0 Claude Fable 5
- 43.8 Claude Haiku 5.5
- 32.9
DeepSeek V4.1 Flash
- 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
- 14.8
DeepSeek-V4-Flash-Vision-Exp
- 12.0
Muse Spark 1.2
- 4.12
Inkling
- 1
Ling-3.1-flash 75.2%
- 2 Claude Fable 5.2 mean@5 69.9%
- 3 GPT-6 Astra mean@5 65.5%
- 4 Claude Opus 5.5 mean@5 62.3%
- 5 Claude Sonnet 5.5 61.9%
- 6
Gemini 4 Carbon mean@5 61.2%
- 7 Claude Fable 5.1 57%
- 8
Gemini 4 Argon 55%
- 9
Gemini 4 Hydrogen mean@5 53.1%
- 10 Claude Opus 5 mean@5 52%
- 11 Claude Fable 5 mean@5 47%
- 12 Claude Haiku 5.5 43.8%
- 13
DeepSeek V4.1 Flash 32.9%
- 14 GPT-5.6 Sol mean@5 32.2%
- 15 GLM-5.3 mean@5 30.2%
- 16 Grok 4.7 mean@5 29.5%
- 17 Kimi K3 mean@5 25.9%
- 18
Muse Spark 1.3 mean@5 25.8%
- 19 Grok 4.6 mean@5 25.3%
- 20
Gemini 3.7 Flash mean@5 20.3%
- 21
Gemini 3.8 Flash mean@5 19.6%
- 22 GLM-5.3-Flash mean@5 18.1%
- 23
Qwen3.8 Max (0902) mean@5 17.8%
- 24
Qwen 3.8 Max mean@5 15.8%
- 25
DeepSeek-V4-Flash-Vision-Exp mean@5 14.8%
- 26
Muse Spark 1.2 mean@5 12%
- 27
Inkling mean@5 4.12%
Sources: Labs’ model cards and official FrontierSWE leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.2 | 69.9% | mean@5, proximus | Nov 2026 | Official leaderboard |
| 2 | GPT-6 Astra | 65.5% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 3 | Claude Opus 5.5 | 62.3% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 4 | Claude Sonnet 5.5 | 61.9% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 5 | | 61.2% | mean@5, proximus | Oct 2026 | Official leaderboard |
| 6 | Claude Fable 5.1 | 56.3% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 7 | | 55% | mean@5; Cache hit rate is much lower due to a non-production setting., proximus | Sep 2026 | Official leaderboard |
| 8 | | 53.1% | mean@5, proximus | Nov 2026 | Official leaderboard |
| 9 | Claude Opus 5 | 52% | mean@5, proximus | Jul 2026 | Official leaderboard |
| 10 | Claude Fable 5 | 47% | mean@5, proximus | Jun 2026 | Official leaderboard |
| 11 | Claude Haiku 5.5 | 43.8% | mean@5, proximus | Oct 2026 | Official leaderboard |
| 12 | GPT-5.6 Sol | 32.2% | mean@5, proximus | Jul 2026 | Official leaderboard |
| 13 | GLM-5.3 | 30.2% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 14 | Grok 4.7 | 29.5% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 15 | Kimi K3 | 25.9% | mean@5, proximus | Jul 2026 | Official leaderboard |
| 16 | | 25.8% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 17 | Grok 4.6 | 25.3% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 18 | | 20.3% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 19 | | 19.6% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 20 | GLM-5.3-Flash | 18.1% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 21 | | 17.8% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 22 | | 15.8% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 23 | | 14.8% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 24 | | 12% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 25 | | 4.12% | mean@5, proximus | Jul 2026 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 75.2% | Oct 2026 | Lab model card | |
| 2 | Claude Fable 5.2 | 69.9% | mean@5, proximus | Nov 2026 | Official leaderboard |
| 3 | GPT-6 Astra | 65.5% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 4 | Claude Opus 5.5 | 62.3% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 5 | Claude Sonnet 5.5 | 61.9% | Sep 2026 | Lab model card | |
| 6 | | 61.2% | mean@5, proximus | Oct 2026 | Official leaderboard |
| 7 | Claude Fable 5.1 | 57% | Sep 2026 | Lab model card | |
| 8 | | 55% | Oct 2026 | Lab model card | |
| 9 | | 53.1% | mean@5, proximus | Nov 2026 | Official leaderboard |
| 10 | Claude Opus 5 | 52% | mean@5, proximus | Jul 2026 | Official leaderboard |
| 11 | Claude Fable 5 | 47% | mean@5, proximus | Jun 2026 | Official leaderboard |
| 12 | Claude Haiku 5.5 | 43.8% | Oct 2026 | Lab model card | |
| 13 | | 32.9% | Sep 2026 | Lab model card | |
| 14 | GPT-5.6 Sol | 32.2% | mean@5, proximus | Jul 2026 | Official leaderboard |
| 15 | GLM-5.3 | 30.2% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 16 | Grok 4.7 | 29.5% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 17 | Kimi K3 | 25.9% | mean@5, proximus | Jul 2026 | Official leaderboard |
| 18 | | 25.8% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 19 | Grok 4.6 | 25.3% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 20 | | 20.3% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 21 | | 19.6% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 22 | GLM-5.3-Flash | 18.1% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 23 | | 17.8% | mean@5, proximus | Sep 2026 | Official leaderboard |
| 24 | | 15.8% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 25 | | 14.8% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 26 | | 12% | mean@5, proximus | Aug 2026 | Official leaderboard |
| 27 | | 4.12% | mean@5, proximus | Jul 2026 | Official leaderboard |
Labs report scores for 10 models in their cards. Switch the scores above to rank them together.
Score vs. cost
Mean score across tasks against mean cost per trial, using the leaderboard aggregation. The line joins the runs that no other run beats on both measures. We redrew this chart from the numbers on the official leaderboard.
| Model | Setting | Mean@5 score | Mean cost per trial |
|---|---|---|---|
| Claude Fable 5.2 | mean@5, proximus | 69.9% | $168.8 |
| GPT-6 Astra | mean@5, proximus | 65.5% | $1,030 |
| Claude Opus 5.5 | mean@5, proximus | 62.3% | $98.87 |
| Claude Sonnet 5.5 | mean@5, proximus | 61.9% | $110.4 |
| | mean@5, proximus | 61.2% | $61.93 |
| Claude Fable 5.1 | mean@5, proximus | 56.3% | $138.5 |
| | mean@5; Cache hit rate is much lower due to a non-production setting., proximus | 55% | $129.4 |
| | mean@5, proximus | 53.1% | $61.79 |
| Claude Opus 5 | mean@5, proximus | 52% | $196.7 |
| Claude Fable 5 | mean@5, proximus | 47% | $301.3 |
| Claude Haiku 5.5 | mean@5, proximus | 43.8% | $20.55 |
| GPT-5.6 Sol | mean@5, proximus | 32.2% | $179.6 |
| GLM-5.3 | mean@5, proximus | 30.2% | $97.22 |
| Grok 4.7 | mean@5, proximus | 29.5% | $318.8 |
| Kimi K3 | mean@5, proximus | 25.9% | $109.7 |
| | mean@5, proximus | 25.8% | $243.3 |
| Grok 4.6 | mean@5, proximus | 25.3% | $243.4 |
| | mean@5, proximus | 20.3% | $34.14 |
| | mean@5, proximus | 19.6% | $38.75 |
| GLM-5.3-Flash | mean@5, proximus | 18.1% | $11.03 |
| | mean@5, proximus | 17.8% | $51.27 |
| | mean@5, proximus | 15.8% | $55.14 |
| | mean@5, proximus | 14.8% | $8.57 |
| | mean@5, proximus | 12% | $27.81 |
| | mean@5, proximus | 4.1% | $9.15 |
The best score, 69.9%, costs $169 a task
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official FrontierSWE leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| Claude Fable 5.2 | mean@5 | proximus | 69.9% | $169 | |
| GPT-6 Astra | mean@5 | proximus | 65.5% | $1,030 | |
| Claude Opus 5.5 | mean@5 | proximus | 62.3% | $99 | |
| Claude Sonnet 5.5 | mean@5 | proximus | 61.9% | $110 | |
| | mean@5 | proximus | 61.2% | $62 | |
| Claude Fable 5.1 | mean@5 | proximus | 56.3% | $139 | |
| | mean@5; Cache hit rate is much lower due to a non-production setting. | proximus | 55% | $129 | |
| | mean@5 | proximus | 53.1% | $62 | |
| Claude Opus 5 | mean@5 | proximus | 52% | $197 | |
| Claude Fable 5 | mean@5 | proximus | 47% | $301 | |
| Claude Haiku 5.5 | mean@5 | proximus | 43.8% | $21 | |
| GPT-5.6 Sol | mean@5 | proximus | 32.2% | $180 | |
| GLM-5.3 | mean@5 | proximus | 30.2% | $97 | |
| Grok 4.7 | mean@5 | proximus | 29.5% | $319 | |
| Kimi K3 | mean@5 | proximus | 25.9% | $110 | |
| | mean@5 | proximus | 25.8% | $243 | |
| Grok 4.6 | mean@5 | proximus | 25.3% | $243 | |
| | mean@5 | proximus | 20.3% | $34 | |
| | mean@5 | proximus | 19.6% | $39 | |
| GLM-5.3-Flash | mean@5 | proximus | 18.1% | $11 | |
| | mean@5 | proximus | 17.8% | $51 | |
| | mean@5 | proximus | 15.8% | $55 | |
| | mean@5 | proximus | 14.8% | $8.57 | |
| | mean@5 | proximus | 12% | $28 | |
| | mean@5 | proximus | 4.12% | $9.15 |
3 models have held number one on the official leaderboard since its release in September 2026 3 models have held number one with claims included since its release in September 2026
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
Sources: Official FrontierSWE leaderboard and labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official FrontierSWE leaderboard and labs’ model cards
3 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 |
|---|---|---|---|
| Nov 9, 2026 | Claude Fable 5.2 | 69.9 | Agentic coding FrontierSWE v2, max effort (launch table and Table 8.1.A) |
| Oct 28, 2026 | 61.2 | FrontierSWE 2 | |
| Oct 13, 2026 | 75.2 | FrontierSWE | |
| Oct 13, 2026 | 55 | FrontierSWE v2 |
8 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 |
|---|---|---|---|---|
| Nov 9, 2026 | Claude Fable 5.2 system card | 69.9 | FrontierSWE v2, max effort, Proximal harness, mean over five trials per task, 20-hour budget (Section 8.7) | Capabilities |
| Oct 13, 2026 | | 55 | FrontierSWE v2 (results table, p.5) | Capabilities |
| Oct 7, 2026 | Claude Haiku 5.5 system card | 43.8 | FrontierSWE v2, max effort, Proximal harness, five trials per task (8.6) | Capabilities |
| Sep 28, 2026 | Claude Sonnet 5.5 system card | 61.9 | FrontierSWE v2, mean of five trials, Proximal harness at max effort (8.7) | Capabilities |
| Sep 22, 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 |
| Sep 21, 2026 | Grok 4.7 model card | 29 | FrontierSWE V2, mean@5 partial-credit score, xhigh, run by Proximal Labs (2.4) | Capabilities |
| Sep 10, 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 |
| Sep 1, 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 |
The lab's number comes out ahead in 1 of 2 pairs that differ
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 6 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| Claude Fable 5.1 | 57% FrontierSWE v2, mean score 0.57 on a 0 to 1 scale, max effort, Proximal harness, 5 trials per task (8.5) | 56.3% Leaderboard, mean@5, proximus | +0.7 pts |
| Grok 4.7 | 29% FrontierSWE V2, mean@5 partial-credit score, xhigh, run by Proximal Labs (2.4) | 29.5% Leaderboard, mean@5, proximus | −0.5 pts |
| | 55% FrontierSWE v2 | 55% Leaderboard, mean@5; Cache hit rate is much lower due to a non-production setting., proximus | Same |
| Claude Fable 5.2 | 69.9% Agentic coding FrontierSWE v2, max effort (launch table and Table 8.1.A) | 69.9% Leaderboard, mean@5, proximus | Same |
| Claude Opus 5.5 | 62.3% FrontierSWE v2, mean of five trials per task, Proximal harness at max effort (8.7) | 62.3% Leaderboard, mean@5, proximus | Same |
| Claude Haiku 5.5 | 43.8% FrontierSWE v2, max effort, Proximal harness, five trials per task (8.6) | 43.8% Leaderboard, mean@5, proximus | Same |
| Claude Sonnet 5.5 | 61.9% FrontierSWE v2, mean of five trials, Proximal harness at max effort (8.7) | 61.9% Leaderboard, mean@5, proximus | Same |
| | 61.2% FrontierSWE 2 | 61.2% Leaderboard, mean@5, proximus | Same |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Source: Official leaderboards
More in Coding
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DeepSeek-V4-Pro 93.5%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Fable 5.2 96.6%
- 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.
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