SWE-bench Multilingual
300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests.
Released with SWE-smith. Paper link is the SWE-smith paper.
- Released
- April 2025
- Kind
- Fixing real repositories
- Level
- Expert
- 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 12th, 2026
Claude Fable 5.2 leads with 96.6%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Gemini 3 Flash leads with 72.7% across all independent runs
Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
Claude Fable 5.2 leads with 96.6%, 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.
- 96.6 Claude Fable 5.2
- 93.9 Claude Opus 5.5
- 90.3 Claude Sonnet 5.5
- 89.5 Claude Opus 5
- 89.1 Claude Fable 5.1
- 88.5
Ling-3.1-flash
- 87.3 Claude Mythos Preview
- 84.4 Claude Opus 4.8
- 84.0
Intern-S2-397B
- 83.7 Claude Haiku 5.5
- 82.9
Tencent Hy4 preview
- 81.2
Inkling 2 Small
- 81.0
Qwen3.8 Flash
- 80.5 Claude Opus 4.7
- 80.5
Qwen3.8-Omni-Flash
- 79.8 Composer 2.5
- 78.5
Laguna S 2.1
- 78.3
Qwen3.7-Max
- 78.3 Claude Sonnet 5
- 78.0 Grok 4.5
- 78.0 Beam 1.0
- 77.8 Claude Opus 4.6
- 77.8 SWE-1.7
- 77.3
LongCat-2.0
- 76.7 Kimi K2.6
- 76.5
MiniMax-M2.7
- 76.2 Claude Opus 4.5
- 76.2
DeepSeek-V4-Pro
- 75.9 Claude Sonnet 4.6
- 75.8
Qwen3.7-Plus
- 75.8
Tencent Hy3
- 74.1
MiniMax-M2.5
- 73.8
Qwen 3.6 Plus
- 73.7 Composer 2
- 73.3 GLM-5
- 73.3
DeepSeek-V4-Flash
- 73.0 Kimi K2.5
- 72.5
MiniMax-M2.1
- 72.4
Step 3.7 Flash
- 71.7 MiMo-V2-Flash
- 71.7
Seed2.0 Pro
- 71.7 MiMo-V2-Pro
- 71.3
Qwen3.6 27B
- 70.2
DeepSeek-V3.2
- 69.3
Qwen3.5 397B-A17B
- 67.7
Nemotron 3.5 Super VL
- 67.7
Nemotron 3 Ultra
- 67.4
Step 3.5 Flash
- 67.3
Laguna M.1
- 67.2
Qwen 3.6 35B-A3B
- 66.7 GLM-4.7
- 66.6
Seed2.0 Lite (0428)
- 65.5
MAI-Code-1-Flash
- 64.7
Spark-X2.6-4B
- 63.1
Laguna XS 2.1
- 63.0
KAT-Coder-V2.5-Dev
- 62.8
Qwen3-Coder-Next
- 62.4
Laguna XS.2
- 61.3
Devstral 2
- 61.1 Kimi K2 Thinking
- 57.9
DeepSeek-V3.2-Exp
- 57.8
DeepSeek-V3.1-Terminus
- 56.5
MiniMax-M2
- 55.9 Kimi K2
- 55.7
Devstral Small 2
- 54.7
Qwen3-Coder-480B-A35B
- 54.5
DeepSeek-V3.1
- 47.3 Kimi K2
- 45.8
Nemotron 3 Super
- 41.9 Granite 4.2 30B
- 39.3
Nemotron 3.5 Lightning 30B-A3B
- 32.1 Beam 1.0 Base
- 23.0 LFM3-1.7B
- 1 Claude Fable 5.2 96.6%
- 2 Claude Opus 5.5 93.9%
- 3 Claude Sonnet 5.5 90.3%
- 4 Claude Opus 5 89.5%
- 5 Claude Fable 5.1 89.1%
- 6
Ling-3.1-flash 88.5%
- 7 Claude Mythos Preview 87.3%
- 8 Claude Opus 4.8 84.4%
- 9
Intern-S2-397B 84%
- 10 Claude Haiku 5.5 83.7%
- 11
Tencent Hy4 preview 82.9%
- 12
Inkling 2 Small 81.2%
- 13
Qwen3.8 Flash 81%
- 14 Claude Opus 4.7 80.5%
- 15
Qwen3.8-Omni-Flash 80.5%
- 16 Composer 2.5 79.8%
- 17
Laguna S 2.1 78.5%
- 18
Qwen3.7-Max 78.3%
- 19 Claude Sonnet 5 78.3%
- 20 Grok 4.5 78%
- 21 Beam 1.0 78%
- 22 Claude Opus 4.6 77.8%
- 23 SWE-1.7 77.8%
- 24
LongCat-2.0 77.3%
- 25 Kimi K2.6 76.7%
- 26
MiniMax-M2.7 76.5%
- 27 Claude Opus 4.5 76.2%
- 28
DeepSeek-V4-Pro 76.2%
- 29 Claude Sonnet 4.6 75.9%
- 30
Qwen3.7-Plus 75.8%
- 31
Tencent Hy3 75.8%
- 32
MiniMax-M2.5 74.1%
- 33
Qwen 3.6 Plus 73.8%
- 34 Composer 2 73.7%
- 35 GLM-5 73.3%
- 36
DeepSeek-V4-Flash 73.3%
- 37 Kimi K2.5 73%
- 38
MiniMax-M2.1 72.5%
- 39
Step 3.7 Flash 72.4%
- 40 MiMo-V2-Flash 71.7%
- 41
Seed2.0 Pro 71.7%
- 42 MiMo-V2-Pro 71.7%
- 43
Qwen3.6 27B 71.3%
- 44
DeepSeek-V3.2 70.2%
- 45
Qwen3.5 397B-A17B 69.3%
- 46
Nemotron 3.5 Super VL 67.7%
- 47
Nemotron 3 Ultra 67.7%
- 48
Step 3.5 Flash 67.4%
- 49
Laguna M.1 67.3%
- 50
Qwen 3.6 35B-A3B 67.2%
- 51 GLM-4.7 66.7%
- 52
Seed2.0 Lite (0428) 66.6%
- 53
MAI-Code-1-Flash 65.5%
- 54
Spark-X2.6-4B 64.7%
- 55
Laguna XS 2.1 63.1%
- 56
KAT-Coder-V2.5-Dev 63%
- 57
Qwen3-Coder-Next 62.8%
- 58
Laguna XS.2 62.4%
- 59
Devstral 2 61.3%
- 60 Kimi K2 Thinking 61.1%
- 61
DeepSeek-V3.2-Exp 57.9%
- 62
DeepSeek-V3.1-Terminus 57.8%
- 63
MiniMax-M2 56.5%
- 64 Kimi K2 Sep 2025 55.9%
- 65
Devstral Small 2 55.7%
- 66
Qwen3-Coder-480B-A35B 54.7%
- 67
DeepSeek-V3.1 54.5%
- 68 Kimi K2 Jul 2025 47.3%
- 69
Nemotron 3 Super 45.8%
- 70 Granite 4.2 30B 41.9%
- 71
Nemotron 3.5 Lightning 30B-A3B 39.3%
- 72 Beam 1.0 Base 32.1%
- 73 LFM3-1.7B 23%
Source: Labs’ model cards
- 1
Gemini 3 Flash 72.7%
- 2 Claude Opus 4.6 72%
- 3 Claude Opus 4.5 70.7%
- 4 GLM-5 69.7%
- 5
Gemini 3 Pro 68.7%
- 6
MiniMax-M2.5 68.3%
- 7 Kimi K2.5 67.3%
- 8 Claude Sonnet 4.5 67%
- 9 GPT-5.2 high 66.7%
- 10 GPT-5.2 Codex 66.3%
- 11 Claude Haiku 4.5 64.7%
- 12
DeepSeek-V3.2 59%
- 13 GPT-5 mini 39.7%
Source: Official SWE-bench Multilingual leaderboard
- 96.6 Claude Fable 5.2
- 93.9 Claude Opus 5.5
- 90.3 Claude Sonnet 5.5
- 89.5 Claude Opus 5
- 89.1 Claude Fable 5.1
- 88.5
Ling-3.1-flash
- 87.3 Claude Mythos Preview
- 84.4 Claude Opus 4.8
- 84.0
Intern-S2-397B
- 83.7 Claude Haiku 5.5
- 82.9
Tencent Hy4 preview
- 81.2
Inkling 2 Small
- 81.0
Qwen3.8 Flash
- 80.5 Claude Opus 4.7
- 80.5
Qwen3.8-Omni-Flash
- 79.8 Composer 2.5
- 78.5
Laguna S 2.1
- 78.3
Qwen3.7-Max
- 78.3 Claude Sonnet 5
- 78.0 Grok 4.5
- 78.0 Beam 1.0
- 77.8 Claude Opus 4.6
- 77.8 SWE-1.7
- 77.3
LongCat-2.0
- 76.7 Kimi K2.6
- 76.5
MiniMax-M2.7
- 76.2 Claude Opus 4.5
- 76.2
DeepSeek-V4-Pro
- 75.9 Claude Sonnet 4.6
- 75.8
Qwen3.7-Plus
- 75.8
Tencent Hy3
- 74.1
MiniMax-M2.5
- 73.8
Qwen 3.6 Plus
- 73.7 Composer 2
- 73.3 GLM-5
- 73.3
DeepSeek-V4-Flash
- 73.0 Kimi K2.5
- 72.7
Gemini 3 Flash
- 72.5
MiniMax-M2.1
- 72.4
Step 3.7 Flash
- 71.7 MiMo-V2-Flash
- 71.7
Seed2.0 Pro
- 71.7 MiMo-V2-Pro
- 71.3
Qwen3.6 27B
- 70.2
DeepSeek-V3.2
- 69.3
Qwen3.5 397B-A17B
- 68.7
Gemini 3 Pro
- 67.7
Nemotron 3.5 Super VL
- 67.7
Nemotron 3 Ultra
- 67.4
Step 3.5 Flash
- 67.3
Laguna M.1
- 67.2
Qwen 3.6 35B-A3B
- 67.0 Claude Sonnet 4.5
- 66.7 GPT-5.2
- 66.7 GLM-4.7
- 66.6
Seed2.0 Lite (0428)
- 66.3 GPT-5.2 Codex
- 65.5
MAI-Code-1-Flash
- 64.7 Claude Haiku 4.5
- 64.7
Spark-X2.6-4B
- 63.1
Laguna XS 2.1
- 63.0
KAT-Coder-V2.5-Dev
- 62.8
Qwen3-Coder-Next
- 62.4
Laguna XS.2
- 61.3
Devstral 2
- 61.1 Kimi K2 Thinking
- 57.9
DeepSeek-V3.2-Exp
- 57.8
DeepSeek-V3.1-Terminus
- 56.5
MiniMax-M2
- 55.9 Kimi K2
- 55.7
Devstral Small 2
- 54.7
Qwen3-Coder-480B-A35B
- 54.5
DeepSeek-V3.1
- 47.3 Kimi K2
- 45.8
Nemotron 3 Super
- 41.9 Granite 4.2 30B
- 39.7 GPT-5 mini
- 39.3
Nemotron 3.5 Lightning 30B-A3B
- 32.1 Beam 1.0 Base
- 23.0 LFM3-1.7B
- 1 Claude Fable 5.2 96.6%
- 2 Claude Opus 5.5 93.9%
- 3 Claude Sonnet 5.5 90.3%
- 4 Claude Opus 5 89.5%
- 5 Claude Fable 5.1 89.1%
- 6
Ling-3.1-flash 88.5%
- 7 Claude Mythos Preview 87.3%
- 8 Claude Opus 4.8 84.4%
- 9
Intern-S2-397B 84%
- 10 Claude Haiku 5.5 83.7%
- 11
Tencent Hy4 preview 82.9%
- 12
Inkling 2 Small 81.2%
- 13
Qwen3.8 Flash 81%
- 14 Claude Opus 4.7 80.5%
- 15
Qwen3.8-Omni-Flash 80.5%
- 16 Composer 2.5 79.8%
- 17
Laguna S 2.1 78.5%
- 18
Qwen3.7-Max 78.3%
- 19 Claude Sonnet 5 78.3%
- 20 Grok 4.5 78%
- 21 Beam 1.0 78%
- 22 Claude Opus 4.6 77.8%
- 23 SWE-1.7 77.8%
- 24
LongCat-2.0 77.3%
- 25 Kimi K2.6 76.7%
- 26
MiniMax-M2.7 76.5%
- 27 Claude Opus 4.5 76.2%
- 28
DeepSeek-V4-Pro 76.2%
- 29 Claude Sonnet 4.6 75.9%
- 30
Qwen3.7-Plus 75.8%
- 31
Tencent Hy3 75.8%
- 32
MiniMax-M2.5 74.1%
- 33
Qwen 3.6 Plus 73.8%
- 34 Composer 2 73.7%
- 35 GLM-5 73.3%
- 36
DeepSeek-V4-Flash 73.3%
- 37 Kimi K2.5 73%
- 38
Gemini 3 Flash 72.7%
- 39
MiniMax-M2.1 72.5%
- 40
Step 3.7 Flash 72.4%
- 41 MiMo-V2-Flash 71.7%
- 42
Seed2.0 Pro 71.7%
- 43 MiMo-V2-Pro 71.7%
- 44
Qwen3.6 27B 71.3%
- 45
DeepSeek-V3.2 70.2%
- 46
Qwen3.5 397B-A17B 69.3%
- 47
Gemini 3 Pro 68.7%
- 48
Nemotron 3.5 Super VL 67.7%
- 49
Nemotron 3 Ultra 67.7%
- 50
Step 3.5 Flash 67.4%
- 51
Laguna M.1 67.3%
- 52
Qwen 3.6 35B-A3B 67.2%
- 53 Claude Sonnet 4.5 67%
- 54 GPT-5.2 high 66.7%
- 55 GLM-4.7 66.7%
- 56
Seed2.0 Lite (0428) 66.6%
- 57 GPT-5.2 Codex 66.3%
- 58
MAI-Code-1-Flash 65.5%
- 59 Claude Haiku 4.5 64.7%
- 60
Spark-X2.6-4B 64.7%
- 61
Laguna XS 2.1 63.1%
- 62
KAT-Coder-V2.5-Dev 63%
- 63
Qwen3-Coder-Next 62.8%
- 64
Laguna XS.2 62.4%
- 65
Devstral 2 61.3%
- 66 Kimi K2 Thinking 61.1%
- 67
DeepSeek-V3.2-Exp 57.9%
- 68
DeepSeek-V3.1-Terminus 57.8%
- 69
MiniMax-M2 56.5%
- 70 Kimi K2 Sep 2025 55.9%
- 71
Devstral Small 2 55.7%
- 72
Qwen3-Coder-480B-A35B 54.7%
- 73
DeepSeek-V3.1 54.5%
- 74 Kimi K2 Jul 2025 47.3%
- 75
Nemotron 3 Super 45.8%
- 76 Granite 4.2 30B 41.9%
- 77 GPT-5 mini 39.7%
- 78
Nemotron 3.5 Lightning 30B-A3B 39.3%
- 79 Beam 1.0 Base 32.1%
- 80 LFM3-1.7B 23%
Sources: Labs’ model cards and official SWE-bench Multilingual leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.2 | 96.6% | Nov 2026 | Lab model card | |
| 2 | Claude Opus 5.5 | 93.9% | Sep 2026 | Lab model card | |
| 3 | Claude Sonnet 5.5 | 90.3% | Sep 2026 | Lab model card | |
| 4 | Claude Opus 5 | 89.5% | Jul 2026 | Lab model card | |
| 5 | Claude Fable 5.1 | 89.1% | Sep 2026 | Lab model card | |
| 6 | | 88.5% | Oct 2026 | Lab model card | |
| 7 | Claude Mythos Preview | 87.3% | Apr 2026 | Lab model card | |
| 8 | Claude Opus 4.8 | 84.4% | May 2026 | Lab model card | |
| 9 | | 84% | Sep 2026 | Lab model card | |
| 10 | Claude Haiku 5.5 | 83.7% | Oct 2026 | Lab model card | |
| 11 | | 82.9% | Aug 2026 | Lab model card | |
| 12 | | 81.2% | Nov 2026 | Lab model card | |
| 13 | | 81% | Aug 2026 | Lab model card | |
| 14 | Claude Opus 4.7 | 80.5% | Apr 2026 | Lab model card | |
| 15 | | 80.5% | Sep 2026 | Lab model card | |
| 16 | Composer 2.5 | 79.8% | May 2026 | Lab model card | |
| 17 | | 78.5% | Jul 2026 | Lab model card | |
| 18 | | 78.3% | May 2026 | Lab model card | |
| 19 | Claude Sonnet 5 | 78.3% | Jun 2026 | Lab model card | |
| 20 | Grok 4.5 | 78% | Jul 2026 | Lab model card | |
| 21 | Beam 1.0 | 78% | Oct 2026 | Lab model card | |
| 22 | Claude Opus 4.6 | 77.8% | Feb 2026 | Lab model card | |
| 23 | SWE-1.7 | 77.8% | Jul 2026 | Lab model card | |
| 24 | | 77.3% | Jul 2026 | Lab model card | |
| 25 | Kimi K2.6 | 76.7% | Apr 2026 | Lab model card | |
| 26 | | 76.5% | Mar 2026 | Lab model card | |
| 27 | Claude Opus 4.5 | 76.2% | Nov 2025 | Lab model card | |
| 28 | | 76.2% | Apr 2026 | Lab model card | |
| 29 | Claude Sonnet 4.6 | 75.9% | Feb 2026 | Lab model card | |
| 30 | | 75.8% | Jun 2026 | Lab model card | |
| 31 | | 75.8% | Jul 2026 | Lab model card | |
| 32 | | 74.1% | Feb 2026 | Lab model card | |
| 33 | | 73.8% | Apr 2026 | Lab model card | |
| 34 | Composer 2 | 73.7% | Mar 2026 | Lab model card | |
| 35 | GLM-5 | 73.3% | Feb 2026 | Lab model card | |
| 36 | | 73.3% | Apr 2026 | Lab model card | |
| 37 | Kimi K2.5 | 73% | Jan 2026 | Lab model card | |
| 38 | | 72.5% | Dec 2025 | Lab model card | |
| 39 | | 72.4% | May 2026 | Lab model card | |
| 40 | MiMo-V2-Flash | 71.7% | Dec 2025 | Lab model card | |
| 41 | | 71.7% | Feb 2026 | Lab model card | |
| 42 | MiMo-V2-Pro | 71.7% | Mar 2026 | Lab model card | |
| 43 | | 71.3% | Apr 2026 | Lab model card | |
| 44 | | 70.2% | Dec 2025 | Lab model card | |
| 45 | | 69.3% | Feb 2026 | Lab model card | |
| 46 | | 67.7% | Oct 2026 | Lab model card | |
| 47 | | 67.7% | Jun 2026 | Lab model card | |
| 48 | | 67.4% | Feb 2026 | Lab model card | |
| 49 | | 67.3% | Apr 2026 | Lab model card | |
| 50 | | 67.2% | Apr 2026 | Lab model card | |
| 51 | GLM-4.7 | 66.7% | Dec 2025 | Lab model card | |
| 52 | | 66.6% | Apr 2026 | Lab model card | |
| 53 | | 65.5% | Jun 2026 | Lab model card | |
| 54 | | 64.7% | Oct 2026 | Lab model card | |
| 55 | | 63.1% | Jul 2026 | Lab model card | |
| 56 | | 63% | Jul 2026 | Lab model card | |
| 57 | | 62.8% | Feb 2026 | Lab model card | |
| 58 | | 62.4% | Apr 2026 | Lab model card | |
| 59 | | 61.3% | Dec 2025 | Lab model card | |
| 60 | Kimi K2 Thinking | 61.1% | Nov 2025 | Lab model card | |
| 61 | | 57.9% | Sep 2025 | Lab model card | |
| 62 | | 57.8% | Sep 2025 | Lab model card | |
| 63 | | 56.5% | Oct 2025 | Lab model card | |
| 64 | Kimi K2 Sep 2025 | 55.9% | Sep 2025 | Lab model card | |
| 65 | | 55.7% | Dec 2025 | Lab model card | |
| 66 | | 54.7% | Jul 2025 | Lab model card | |
| 67 | | 54.5% | Aug 2025 | Lab model card | |
| 68 | Kimi K2 Jul 2025 | 47.3% | Jul 2025 | Lab model card | |
| 69 | | 45.8% | Mar 2026 | Lab model card | |
| 70 | Granite 4.2 30B | 41.9% | Aug 2026 | Lab model card | |
| 71 | | 39.3% | Aug 2026 | Lab model card | |
| 72 | Beam 1.0 Base | 32.1% | Oct 2026 | Lab model card | |
| 73 | LFM3-1.7B | 23% | Oct 2026 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 72.7% | mini-SWE-agent | Dec 2025 | Official leaderboard |
| 2 | Claude Opus 4.6 | 72% | mini-SWE-agent | Feb 2026 | Official leaderboard |
| 3 | Claude Opus 4.5 | 70.7% | mini-SWE-agent | Nov 2025 | Official leaderboard |
| 4 | GLM-5 | 69.7% | mini-SWE-agent | Feb 2026 | Official leaderboard |
| 5 | | 68.7% | mini-SWE-agent | Nov 2025 | Official leaderboard |
| 6 | | 68.3% | mini-SWE-agent | Feb 2026 | Official leaderboard |
| 7 | Kimi K2.5 | 67.3% | mini-SWE-agent | Jan 2026 | Official leaderboard |
| 8 | Claude Sonnet 4.5 | 67% | mini-SWE-agent | Sep 2025 | Official leaderboard |
| 9 | GPT-5.2 | 66.7% | high, mini-SWE-agent | Dec 2025 | Official leaderboard |
| 10 | GPT-5.2 Codex | 66.3% | mini-SWE-agent | Dec 2025 | Official leaderboard |
| 11 | Claude Haiku 4.5 | 64.7% | mini-SWE-agent | Oct 2025 | Official leaderboard |
| 12 | | 59% | mini-SWE-agent | Dec 2025 | Official leaderboard |
| 13 | GPT-5 mini | 39.7% | mini-SWE-agent | Aug 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.2 | 96.6% | Nov 2026 | Lab model card | |
| 2 | Claude Opus 5.5 | 93.9% | Sep 2026 | Lab model card | |
| 3 | Claude Sonnet 5.5 | 90.3% | Sep 2026 | Lab model card | |
| 4 | Claude Opus 5 | 89.5% | Jul 2026 | Lab model card | |
| 5 | Claude Fable 5.1 | 89.1% | Sep 2026 | Lab model card | |
| 6 | | 88.5% | Oct 2026 | Lab model card | |
| 7 | Claude Mythos Preview | 87.3% | Apr 2026 | Lab model card | |
| 8 | Claude Opus 4.8 | 84.4% | May 2026 | Lab model card | |
| 9 | | 84% | Sep 2026 | Lab model card | |
| 10 | Claude Haiku 5.5 | 83.7% | Oct 2026 | Lab model card | |
| 11 | | 82.9% | Aug 2026 | Lab model card | |
| 12 | | 81.2% | Nov 2026 | Lab model card | |
| 13 | | 81% | Aug 2026 | Lab model card | |
| 14 | Claude Opus 4.7 | 80.5% | Apr 2026 | Lab model card | |
| 15 | | 80.5% | Sep 2026 | Lab model card | |
| 16 | Composer 2.5 | 79.8% | May 2026 | Lab model card | |
| 17 | | 78.5% | Jul 2026 | Lab model card | |
| 18 | | 78.3% | May 2026 | Lab model card | |
| 19 | Claude Sonnet 5 | 78.3% | Jun 2026 | Lab model card | |
| 20 | Grok 4.5 | 78% | Jul 2026 | Lab model card | |
| 21 | Beam 1.0 | 78% | Oct 2026 | Lab model card | |
| 22 | Claude Opus 4.6 | 77.8% | Feb 2026 | Lab model card | |
| 23 | SWE-1.7 | 77.8% | Jul 2026 | Lab model card | |
| 24 | | 77.3% | Jul 2026 | Lab model card | |
| 25 | Kimi K2.6 | 76.7% | Apr 2026 | Lab model card | |
| 26 | | 76.5% | Mar 2026 | Lab model card | |
| 27 | Claude Opus 4.5 | 76.2% | Nov 2025 | Lab model card | |
| 28 | | 76.2% | Apr 2026 | Lab model card | |
| 29 | Claude Sonnet 4.6 | 75.9% | Feb 2026 | Lab model card | |
| 30 | | 75.8% | Jun 2026 | Lab model card | |
| 31 | | 75.8% | Jul 2026 | Lab model card | |
| 32 | | 74.1% | Feb 2026 | Lab model card | |
| 33 | | 73.8% | Apr 2026 | Lab model card | |
| 34 | Composer 2 | 73.7% | Mar 2026 | Lab model card | |
| 35 | GLM-5 | 73.3% | Feb 2026 | Lab model card | |
| 36 | | 73.3% | Apr 2026 | Lab model card | |
| 37 | Kimi K2.5 | 73% | Jan 2026 | Lab model card | |
| 38 | | 72.7% | mini-SWE-agent | Dec 2025 | Official leaderboard |
| 39 | | 72.5% | Dec 2025 | Lab model card | |
| 40 | | 72.4% | May 2026 | Lab model card | |
| 41 | MiMo-V2-Flash | 71.7% | Dec 2025 | Lab model card | |
| 42 | | 71.7% | Feb 2026 | Lab model card | |
| 43 | MiMo-V2-Pro | 71.7% | Mar 2026 | Lab model card | |
| 44 | | 71.3% | Apr 2026 | Lab model card | |
| 45 | | 70.2% | Dec 2025 | Lab model card | |
| 46 | | 69.3% | Feb 2026 | Lab model card | |
| 47 | | 68.7% | mini-SWE-agent | Nov 2025 | Official leaderboard |
| 48 | | 67.7% | Oct 2026 | Lab model card | |
| 49 | | 67.7% | Jun 2026 | Lab model card | |
| 50 | | 67.4% | Feb 2026 | Lab model card | |
| 51 | | 67.3% | Apr 2026 | Lab model card | |
| 52 | | 67.2% | Apr 2026 | Lab model card | |
| 53 | Claude Sonnet 4.5 | 67% | mini-SWE-agent | Sep 2025 | Official leaderboard |
| 54 | GPT-5.2 | 66.7% | high, mini-SWE-agent | Dec 2025 | Official leaderboard |
| 55 | GLM-4.7 | 66.7% | Dec 2025 | Lab model card | |
| 56 | | 66.6% | Apr 2026 | Lab model card | |
| 57 | GPT-5.2 Codex | 66.3% | mini-SWE-agent | Dec 2025 | Official leaderboard |
| 58 | | 65.5% | Jun 2026 | Lab model card | |
| 59 | Claude Haiku 4.5 | 64.7% | mini-SWE-agent | Oct 2025 | Official leaderboard |
| 60 | | 64.7% | Oct 2026 | Lab model card | |
| 61 | | 63.1% | Jul 2026 | Lab model card | |
| 62 | | 63% | Jul 2026 | Lab model card | |
| 63 | | 62.8% | Feb 2026 | Lab model card | |
| 64 | | 62.4% | Apr 2026 | Lab model card | |
| 65 | | 61.3% | Dec 2025 | Lab model card | |
| 66 | Kimi K2 Thinking | 61.1% | Nov 2025 | Lab model card | |
| 67 | | 57.9% | Sep 2025 | Lab model card | |
| 68 | | 57.8% | Sep 2025 | Lab model card | |
| 69 | | 56.5% | Oct 2025 | Lab model card | |
| 70 | Kimi K2 Sep 2025 | 55.9% | Sep 2025 | Lab model card | |
| 71 | | 55.7% | Dec 2025 | Lab model card | |
| 72 | | 54.7% | Jul 2025 | Lab model card | |
| 73 | | 54.5% | Aug 2025 | Lab model card | |
| 74 | Kimi K2 Jul 2025 | 47.3% | Jul 2025 | Lab model card | |
| 75 | | 45.8% | Mar 2026 | Lab model card | |
| 76 | Granite 4.2 30B | 41.9% | Aug 2026 | Lab model card | |
| 77 | GPT-5 mini | 39.7% | mini-SWE-agent | Aug 2025 | Official leaderboard |
| 78 | | 39.3% | Aug 2026 | Lab model card | |
| 79 | Beam 1.0 Base | 32.1% | Oct 2026 | Lab model card | |
| 80 | LFM3-1.7B | 23% | Oct 2026 | Lab model card |
The benchmark's own leaderboard has 13 models. Switch the scores above to rank them together.
The best score, 72.7%, costs $0.35 a task
Runs on the cost frontier score higher than any run that's cheaper. MiniMax-M2.5 comes within 4.4 points of the best for $0.10 a task, 3 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official SWE-bench Multilingual leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | mini-SWE-agent | 72.7% | $0.35 | ||
| Claude Opus 4.6 | mini-SWE-agent | 72% | $0.66 | ||
| Claude Opus 4.5 | mini-SWE-agent | 70.7% | $0.83 | ||
| GLM-5 | mini-SWE-agent | 69.7% | $0.64 | ||
| | mini-SWE-agent | 68.7% | $1.02 | ||
| | mini-SWE-agent | 68.3% | $0.10 | ||
| Kimi K2.5 | mini-SWE-agent | 67.3% | $0.69 | ||
| Claude Sonnet 4.5 | mini-SWE-agent | 67% | $0.67 | ||
| GPT-5.2 | high | mini-SWE-agent | 66.7% | $0.54 | |
| GPT-5.2 Codex | mini-SWE-agent | 66.3% | $0.66 | ||
| Claude Haiku 4.5 | mini-SWE-agent | 64.7% | $0.38 | ||
| | mini-SWE-agent | 59% | $0.38 | ||
| GPT-5 mini | mini-SWE-agent | 39.7% | $0.05 |
12 models have held number one in labs’ own numbers since its release in April 2025 5 models have held number one across all independent runs since its release in April 2025 12 models have held number one with claims included since its release in April 2025
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 SWE-bench Multilingual leaderboard and labs’ model cards
Anthropic’s own number for Claude Mythos Preview passed 85% in April 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official SWE-bench Multilingual leaderboard and labs’ model cards
16 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 | 96.6 | SWE-bench Multilingual, adaptive thinking max effort, average of five trials (Table 8.1.A only) |
| Nov 5, 2026 | 81.2 | SWE-bench Multilingual, 81.2% | |
| Oct 27, 2026 | LFM3-1.7B | 23 | SWE-bench Multilingual (OpenCode) |
| Oct 22, 2026 | 64.7 | SWE Multilingual | |
| Oct 15, 2026 | 67.7 | SWE-bench Multilingual (OpenCode harness) | |
| Oct 13, 2026 | 88.5 | SWE-bench Multilingual | |
| Oct 7, 2026 | Claude Haiku 5.5 | 83.7 | SWE-bench Multilingual |
| Oct 5, 2026 | Beam 1.0 | 78 | SWEBench Multilingual |
| Sep 28, 2026 | Claude Sonnet 5.5 | 90.3 | SWE-Bench Multilingual |
| Sep 22, 2026 | Claude Opus 5.5 | 93.9 | SWE-bench Multilingual |
| Sep 18, 2026 | 80.5 | SWE-bench Multilingual (mini-SWE-agent) | |
| Sep 13, 2026 | 84 | SWE-bench-Multilingual (Mini-SWE-Agent) | |
| Sep 1, 2026 | Claude Fable 5.1 | 89.1 | SWE-bench Multilingual |
| Aug 28, 2026 | 82.9 | SWE-bench Multilingual | |
| Aug 26, 2026 | 81 | SWE-bench Multilingual (mini-SWE-agent) | |
| Aug 25, 2026 | Granite 4.2 30B | 41.9 | SWE Bench Multilingual |
| Aug 11, 2026 | 39.3 | SWE-bench Multilingual | |
| Jul 24, 2026 | Claude Opus 5 | 89.5 | SWE-bench Multilingual |
| Jul 23, 2026 | 63 | SWE-bench Multilingual | |
| Jul 21, 2026 | 78.5 | SWE-Bench Multilingual | |
| Jul 8, 2026 | SWE-1.7 | 77.8 | SWE-Bench Multilingual (Devin CLI) |
| Jul 5, 2026 | 77.3 | SWE-bench Multilingual | |
| Jul 2, 2026 | 63.1 | SWE-bench Multilingual | |
| Jul 2, 2026 | 75.8 | SWE-bench Multilingual | |
| Jun 4, 2026 | 67.7 | SWE-Bench Multilingual | |
| Jun 2, 2026 | 65.5 | SWE-Bench Multilingual | |
| Jun 1, 2026 | 75.8 | SWE-Multilingual | |
| May 29, 2026 | 72.4 | SWE-MTLG | |
| May 28, 2026 | Claude Opus 4.8 | 84.4 | SWE-bench Multilingual |
| May 20, 2026 | 78.3 | SWE-Multilingual | |
| May 18, 2026 | Composer 2.5 | 79.8 | SWE-Bench Multilingual |
| Apr 28, 2026 | 62.4 | SWE-bench Multilingual (mean pass@1 over 7 runs) | |
| Apr 28, 2026 | 67.3 | SWE-bench Multilingual (mean pass@1 over 7 runs) | |
| Apr 28, 2026 | 66.6 | SWE Multilingual | |
| Apr 24, 2026 | 73.3 | SWE Multilingual (Resolved), V4-Flash Max | |
| Apr 24, 2026 | 76.2 | SWE Multilingual (Resolved) | |
| Apr 22, 2026 | 71.3 | SWE-bench Multilingual | |
| Apr 20, 2026 | Kimi K2.6 | 76.7 | SWE-Bench Multilingual |
| Apr 16, 2026 | Claude Opus 4.7 | 80.5 | SWE-bench Multilingual |
| Apr 15, 2026 | 67.2 | SWE-bench Multilingual | |
| Apr 7, 2026 | Claude Mythos Preview | 87.3 | SWE-bench Multilingual |
| Apr 2, 2026 | 73.8 | SWE-bench Multilingual | |
| Mar 19, 2026 | Composer 2 | 73.7 | SWE-bench Multilingual |
| Mar 18, 2026 | MiMo-V2-Pro | 71.7 | SWE-bench Multilingual |
| Mar 18, 2026 | 76.5 | SWE Multilingual (text) | |
| Mar 11, 2026 | 45.8 | SWE-Bench Multilingual (OpenHands) | |
| Feb 16, 2026 | 69.3 | SWE-bench Multilingual | |
| Feb 14, 2026 | 71.7 | SWE Multilingual | |
| Feb 12, 2026 | 74.1 | SWE-Bench Multilingual | |
| Feb 11, 2026 | GLM-5 | 73.3 | SWE-bench Multilingual |
| Feb 2, 2026 | 62.8 | SWE-Bench Multilingual (w/ SWE-Agent) | |
| Jan 27, 2026 | Kimi K2.5 | 73 | SWE-Bench Multilingual |
| Dec 23, 2025 | 72.5 | SWE-bench Multilingual | |
| Dec 22, 2025 | GLM-4.7 | 66.7 | SWE-bench Multilingual |
| Dec 16, 2025 | MiMo-V2-Flash | 71.7 | SWE-Bench Multilingual |
| Dec 9, 2025 | 55.7 | SWE Bench Multilingual (HF card) | |
| Dec 9, 2025 | 61.3 | SWE Bench Multilingual (HF card) | |
| Dec 1, 2025 | 70.2 | SWE Multilingual (Resolved) | |
| Nov 6, 2025 | Kimi K2 Thinking | 61.1 | SWE-bench Multilingual, w/ tools |
| Oct 27, 2025 | 56.5 | SWE-bench Multilingual | |
| Sep 29, 2025 | 57.9 | SWE-bench Multilingual | |
| Sep 22, 2025 | 57.8 | SWE-bench Multilingual | |
| Sep 5, 2025 | Kimi K2 | 55.9 | SWE-Bench Multilingual, ACC |
| Aug 21, 2025 | 54.5 | SWE-bench Multilingual (Agent mode) | |
| Jul 22, 2025 | 54.7 | SWE-bench Multilingual | |
| Jul 11, 2025 | Kimi K2 | 47.3 | SWE-bench Multilingual (Agentic Coding), Single Attempt (Acc) |
38 system cards report it, from 15 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 | 96.6 | SWE-bench Multilingual, adaptive thinking max effort, average of five trials (Table 8.1.A and Section 8.2) | Capabilities |
| Oct 15, 2026 | | 67.7 | SWE-bench Multilingual, OpenCode harness (Table 10) | Capabilities |
| Oct 15, 2026 | | 37.1 | SWE-Bench Multilingual, BF16 acc. (Table 22) | Capabilities |
| Oct 7, 2026 | Claude Haiku 5.5 system card | 83.7 | SWE-bench Multilingual, average of five trials, max effort (Table 8.1.A) | Capabilities |
| Oct 5, 2026 | Beam 1.0 Base technical report | 32.1 | SWE-bench Multilingual, agentic, temperature 0.7, Table 23 | Capabilities |
| Sep 28, 2026 | Claude Sonnet 5.5 system card | 90.3 | SWE-Bench Multilingual, average of five trials (Table 8.1.A) | Capabilities |
| Sep 22, 2026 | | 80.5 | SWE-bench Multilingual, mini-SWE-agent (Table 2) | Capabilities |
| Sep 22, 2026 | Claude Opus 5.5 system card | 93.9 | SWE-bench Multilingual, average of five trials, max effort (Table 8.1.A, 8.2) | Capabilities |
| Sep 1, 2026 | Claude Fable 5.1 system card | 89.1 | SWE-bench Multilingual (Table 8.1.A) | Capabilities |
| Jul 24, 2026 | Claude Opus 5 system card | 89.5 | SWE-bench Multilingual, average of five trials (Table 8.1.A, 8.2) | Capabilities |
| Jul 14, 2026 | Grok 4.5 model card | 78 | SWE-Bench Multilingual, resolve rate, high, runs reported by Cursor (2.5) | Capabilities |
| Jun 30, 2026 | Claude Sonnet 5 system card | 78.3 | SWE-bench Multilingual, average of five trials (8.2) | Capabilities |
| Jun 9, 2026 | | 67.7 | SWE-Bench Multilingual (Table 10) | Capabilities |
| Jun 2, 2026 | | 65.5 | SWE-Bench Multilingual, pass rate, Copilot production harness (Coding table) | Capabilities |
| May 28, 2026 | Claude Opus 4.8 system card | 84.4 | SWE-bench Multilingual, average of five trials, max effort (Table 8.1.A, 8.2) | Capabilities |
| May 26, 2026 | | 56.5 | SWE-bench Multilingual, MiniMax-M2 bar, printed label (Figure 9) | Capabilities |
| May 26, 2026 | | 76.5 | SWE-bench Multilingual, Claude Code scaffold, avg of 4 trials (Table 4) | Capabilities |
| May 26, 2026 | | 74.1 | SWE-bench Multilingual, Claude Code scaffold, avg of 4 trials (Table 4) | Capabilities |
| May 25, 2026 | | 57.7 | SWE-bench Multilingual, pool harness, 500 steps, mean pass@1 over 4 runs, some task images and verifiers patched (Table 6) | Capabilities |
| May 25, 2026 | | 63.1 | SWE-bench Multilingual, pool harness, 500 steps, mean pass@1 over 4 runs, some task images and verifiers patched (Table 7) | Capabilities |
| Apr 26, 2026 | | 76.2 | SWE Multilingual (Resolved), DS-V4-Pro Max (Table 6) | Capabilities |
| Apr 26, 2026 | | 73.3 | SWE Multilingual (Resolved), DeepSeek-V4-Flash Max (Table 7) | Capabilities |
| Apr 16, 2026 | Claude Opus 4.7 system card | 80.5 | SWE-bench Multilingual, average of 5 trials (Table 8.1.A, 8.2) | Capabilities |
| Apr 7, 2026 | Claude Mythos Preview system card | 87.3 | SWE-bench Multilingual, adaptive thinking, max effort, average of 5 trials (Table 6.3.A, 6.4) | Capabilities |
| Mar 25, 2026 | Composer 2 technical report | 73.7 | SWE-bench Multi., Cursor's own harness (Table 1 and 7.2) | Capabilities |
| Mar 11, 2026 | | 45.8 | SWE-Bench Multilingual (OpenHands) (Table 5) | Capabilities |
| Feb 28, 2026 | | 62.8 | SWE-Bench Multilingual, SWE-Agent. MiniSWE-Agent 56.2, OpenHands 64.3 (Table 4) | Capabilities |
| Feb 17, 2026 | GLM-5 technical report | 73.3 | SWE-bench Multilingual, OpenHands (Table 7) | Capabilities |
| Feb 17, 2026 | Claude Sonnet 4.6 system card | 75.9 | SWE-bench Multilingual, adaptive thinking, max effort (2.2) | Capabilities |
| Feb 14, 2026 | | 71.7 | SWE Multilingual (Table 11) | Capabilities |
| Feb 11, 2026 | | 67.4 | SWE Multilingual (Table 5) | Capabilities |
| Feb 5, 2026 | Claude Opus 4.6 system card | 77.8 | SWE-bench Multilingual, adaptive thinking, max effort, average of 25 trials (2.4) | Capabilities |
| Jan 30, 2026 | Kimi K2.5 technical report | 73 | SWE-Bench Multilingual (Table 4) | Capabilities |
| Jan 6, 2026 | MiMo-V2-Flash technical report | 71.7 | SWE-Bench Multilingual (Table 9) | Capabilities |
| Dec 1, 2025 | | 70.2 | SWE Multilingual (Resolved), DeepSeek-V3.2 Thinking (Table 2) | Capabilities |
| Nov 24, 2025 | Claude Opus 4.5 system card | 76.2 | SWE-bench Multilingual, no thinking and 64k thinking both 76.20% (Table 2.4.A) | Capabilities |
| Sep 29, 2025 | | 57.9 | SWE-bench Multilingual (Agent mode), DeepSeek-V3.2-Exp (Table 1) | Capabilities |
| Jul 21, 2025 | Kimi K2 technical report | 47.3 | SWE-bench Multilingual (Pass@1), single-attempt agentic (Table 3) | Capabilities |
The lab's number comes out ahead in 6 of 6 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. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 70.2% SWE Multilingual (Resolved) | 59% Leaderboard, mini-SWE-agent | +11 pts |
| Claude Opus 4.6 | 77.8% SWE-bench Multilingual, adaptive thinking, max effort, average of 25 trials (2.4) | 72% Leaderboard, mini-SWE-agent | +5.8 pts |
| | 74.1% SWE-Bench Multilingual | 68.3% Leaderboard, mini-SWE-agent | +5.8 pts |
| Kimi K2.5 | 73% SWE-Bench Multilingual | 67.3% Leaderboard, mini-SWE-agent | +5.7 pts |
| Claude Opus 4.5 | 76.2% SWE-bench Multilingual, no thinking and 64k thinking both 76.20% (Table 2.4.A) | 70.7% Leaderboard, mini-SWE-agent | +5.5 pts |
| GLM-5 | 73.3% SWE-bench Multilingual | 69.7% Leaderboard, mini-SWE-agent | +3.6 pts |
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%
- 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
- NL2Repo-Bench In use From one natural-language requirements document and an empty workspace, agent builds an installable Python library. Scored by original project's test pass rate.
DeepSeek V4.1 Flash 1017 68.2%