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  3. FrontierSWE

FrontierSWEexplained

Software projects that take an agent up to 20 hours. FrontierSWE gives a coding agent very long software tasks, such as rebuilding a well-known tool in another language, speeding up slow scientific code or training a small forecasting model, with up to 20 hours per task. Every model runs in the same simple agent setup at its highest reasoning setting, and partial progress earns partial credit.

Coding · Proximal, 2026

Highest published score
GPT-6 Astra, 65.5%
Leader among popular models
GPT-6 Astra
Models with a result
21
Skill it tests
Coding
01

What FrontierSWE really tests

What it is
FrontierSWE gives a coding agent very long software tasks, such as rebuilding a well-known tool in another language, speeding up slow scientific code or training a small forecasting model, with up to 20 hours per task. Every model runs in the same simple agent setup at its highest reasoning setting, and partial progress earns partial credit.
A question like
“Reimplement the core of a version-control system in a different programming language so that its test suite passes.” Our own example in the style of the test, not a real item.
Why it matters
Most coding tests take minutes. This one asks whether a model can stay on track through a long project, which is where AI coding is heading.
Reading the score
Average share of each task completed (0–100%).
The catch
There are only a few dozen tasks, so one task can move a score noticeably. The first and second versions use different tasks and scales, so don’t compare scores across them.
Made by
Proximal, 2026. Official page
02

Leaderboard

Each model’s best published result across its reasoning settings.

Popular models

The models we track across this site.

  1. 1GPT-6 AstraOpenAI65.5%
  2. 2Claude Opus 5.5Anthropic62.3%
  3. 3Claude Sonnet 5.5Anthropic61.9%
  4. 4Claude Fable 5.1Anthropic56.3%
  5. 5Gemini 4 ArgonGoogle55.0%
  6. 6Claude Haiku 5.5Anthropic43.8%
  7. 7GLM-5.3Z.ai30.2%
  8. 8Grok 4.7xAI29.5%
  9. 9Kimi K3Moonshot AI25.9%
  10. 10Grok 4.6xAI25.3%
  11. 11Gemini 3.8 FlashGoogle19.6%

Top 20 of all 21 models tested

Includes older, preview and specialist models that aren’t on our main leaderboard.

  1. 1GPT-6 AstraOpenAI · max65.5%
  2. 2Claude Opus 5.5Anthropic · max62.3%
  3. 3Claude Sonnet 5.5Anthropic · max61.9%
  4. 4Claude Fable 5.1Anthropic · max56.3%
  5. 5Gemini 4 ArgonGoogle DeepMind · high55.0%
  6. 6Claude Opus 5Anthropic · max52.0%
  7. 7Claude Fable 5Anthropic · max47.0%
  8. 8Claude Haiku 5.5Anthropic · max43.8%
  9. 9GPT-5.6 SolOpenAI · max32.2%
  10. 10GLM-5.3Z.ai (Zhipu AI) · max30.2%
  11. 11Grok 4.7xAI · xhigh29.5%
  12. 12Kimi K3Moonshot · max25.9%
  13. 13Muse Spark 1.3Meta AI · max25.8%
  14. 14Grok 4.6xAI · xhigh25.3%
  15. 15Gemini 3.7 FlashGoogle DeepMind · high20.3%
  16. 16Gemini 3.8 FlashGoogle DeepMind · high19.6%
  17. 17GLM-5.3-FlashZ.ai (Zhipu AI) · max18.1%
  18. 18Qwen3.8 Max (0902)Alibaba · xhigh17.8%
  19. 19Qwen 3.8 MaxAlibaba · xhigh15.8%
  20. 20Muse Spark 1.2Meta AI · xhigh12.0%
04

Questions

What is FrontierSWE?

FrontierSWE gives a coding agent very long software tasks, such as rebuilding a well-known tool in another language, speeding up slow scientific code or training a small forecasting model, with up to 20 hours per task. Every model runs in the same simple agent setup at its highest reasoning setting, and partial progress earns partial credit.

What does a FrontierSWE score mean?

Average share of each task completed (0–100%).

Which AI model is best on FrontierSWE?

GPT-6 Astra from OpenAI has the highest published FrontierSWE result we have (65.5%).

Is FrontierSWE a good benchmark?

Most coding tests take minutes. This one asks whether a model can stay on track through a long project, which is where AI coding is heading. The catch: There are only a few dozen tasks, so one task can move a score noticeably. The first and second versions use different tasks and scales, so don’t compare scores across them.

Who made FrontierSWE?

Proximal, 2026.

Benchmark scores: Epoch AI, Capabilities & benchmarking, used under CC BY 4.0. For each model we show its best published result across reasoning settings. Prices and context sizes: OpenRouter. Data refreshed November 9, 2026. Hands-on tests (answers, websites, code, refusals, speed) are our own single runs. Explanations written by Cleus.