DeepSWE
A long-horizon software engineering benchmark from Datacurve for measuring frontier coding agents on original tasks drawn from active open-source repositories.
50 models
Higher is better.
- 1Muse Wonder FullMeta79.0
- 2Muse WonderMeta78.8
- 3Gemini 4 ArgonGoogle77.9
- 4DeepSeek V4.1 Flash 1017DeepSeek77.0
- 5Muse Spark 1.3Meta75.4
- 6Ember-1Fireworks75.2
- 7Claude Opus 5.5Anthropic74.2
- 8GPT-6 AstraOpenAI74.1
- 9Pareto 26.9Unbiased74.0
- 10Gemini 3.8 FlashGoogle73.8
- 11MiniMax M3.1 FlashMiniMax73.7
- 12SWE-2Cognition73.0
- 13GPT-5.6 SolOpenAI72.7
- 14GPT-6.1 SolOpenAI71.9
- 15MiMo-V2.6-ProXiaomi71.9
- 16Claude Sonnet 5.5Anthropic71.0
- 17Grok 4.7xAI71.0
- 18Pareto 26.10 PreviewUnbiased69.9
- 19GPT-5.6 TerraOpenAI69.6
- 20Claude Opus 5Anthropic68.8
- 21GPT-6 SolOpenAI68.8
- 22MiMo-V2.6-FlashXiaomi67.9
- 23Step 5 PreviewStepFun67.7
- 24Kimi K3Moonshot AI67.5
- 25Claude Fable 5.1Anthropic67.4
- 26GPT-5.6 LunaOpenAI67.2
- 27GLM-5.3Z.AI66.9
- 28GPT-6 LunaOpenAI66.6
- 29Grok 4.6xAI65.9
- 30Gemini 3.7 FlashGoogle65.3
- 31Hy4 previewTencent64.3
- 32GLM-5.3-FlashZ.AI63.4
- 33DeepSeek V4 Pro 0813DeepSeek62.7
- 34Ultramarine 1 FlashPaper Instruments61.5
- 35Muse Spark OpenMeta60.0
- 36Ling 3.1 FlashInclusionAI59.7
- 37Muse Spark 1.2Meta59.3
- 38Qwen3.8-Flash-NextAlibaba58.7
- 39Qwen3.8-Omni-FlashAlibaba57.8
- 40Qwen3.8 MaxAlibaba56.6
About this benchmark
- Metric
- Pass@1 with confidence interval, cost, time, and token metadata
- Tasks
- 113 software engineering tasks across 91 repositories and 5 languages
- Authors
- Datacurve AI (2026)
- Source
- DeepSWE benchmark blog ↗
Scores are as reported by model developers or evaluators and may use different settings (for example reasoning effort or tools). Compare with care.
All results
| 1 | Muse Wonder Full Meta | 79.0 |
| 2 | Muse Wonder Meta | 78.8 |
| 3 | Gemini 4 Argon Google | 77.9 |
| 4 | DeepSeek V4.1 Flash 1017 DeepSeek | 77.0 |
| 5 | Muse Spark 1.3 Meta | 75.4 |
| 6 | Ember-1 Fireworks | 75.2 |
| 7 | Claude Opus 5.5 Anthropic | 74.2 |
| 8 | GPT-6 Astra OpenAI | 74.1 |
| 9 | Pareto 26.9 Unbiased | 74.0 |
| 10 | Gemini 3.8 Flash Google | 73.8 |
| 11 | MiniMax M3.1 Flash MiniMax | 73.7 |
| 12 | SWE-2 Cognition | 73.0 |
| 13 | GPT-5.6 Sol OpenAI | 72.7 |
| 14 | GPT-6.1 Sol OpenAI | 71.9 |
| 15 | MiMo-V2.6-Pro Xiaomi | 71.9 |
| 16 | Claude Sonnet 5.5 Anthropic | 71.0 |
| 17 | Grok 4.7 xAI | 71.0 |
| 18 | Pareto 26.10 Preview Unbiased | 69.9 |
| 19 | GPT-5.6 Terra OpenAI | 69.6 |
| 20 | Claude Opus 5 Anthropic | 68.8 |
| 21 | GPT-6 Sol OpenAI | 68.8 |
| 22 | MiMo-V2.6-Flash Xiaomi | 67.9 |
| 23 | Step 5 Preview StepFun | 67.7 |
| 24 | Kimi K3 Moonshot AI | 67.5 |
| 25 | Claude Fable 5.1 Anthropic | 67.4 |
| 26 | GPT-5.6 Luna OpenAI | 67.2 |
| 27 | GLM-5.3 Z.AI | 66.9 |
| 28 | GPT-6 Luna OpenAI | 66.6 |
| 29 | Grok 4.6 xAI | 65.9 |
| 30 | Gemini 3.7 Flash Google | 65.3 |
| 31 | Hy4 preview Tencent | 64.3 |
| 32 | GLM-5.3-Flash Z.AI | 63.4 |
| 33 | DeepSeek V4 Pro 0813 DeepSeek | 62.7 |
| 34 | Ultramarine 1 Flash Paper Instruments | 61.5 |
| 35 | Muse Spark Open Meta | 60.0 |
| 36 | Ling 3.1 Flash InclusionAI | 59.7 |
| 37 | Muse Spark 1.2 Meta | 59.3 |
| 38 | Qwen3.8-Flash-Next Alibaba | 58.7 |
| 39 | Qwen3.8-Omni-Flash Alibaba | 57.8 |
| 40 | Qwen3.8 Max Alibaba | 56.6 |
| 41 | Ornith-1.5-397B Ornith AI | 56.0 |
| 42 | DeepSeek V4 Flash 0731 DeepSeek | 54.4 |
| 43 | Muse Spark 1.1 Meta | 53.3 |
| 44 | Grok 4.5 xAI | 53.0 |
| 45 | Gemini 3.6 Flash Google | 49.0 |
| 46 | Mercury 3 Inception | 46.3 |
| 47 | Beam 1.0 501B-A23B Reflection AI | 43.3 |
| 48 | Qwen3.8-27B Alibaba | 42.2 |
| 49 | Laguna S 2.1 Poolside | 40.4 |
| 50 | Ornith-1.5-35B-A3B Ornith AI | 22.0 |