AI model coding benchmarks

Every coding benchmark score found in our tool pages and in the model comparison, grouped by test. Each score comes with its stated conditions and a link to the vendor's page.

Scores shown: 11 · benchmarks: 1

DeepSWE v1.1 (11 scores)

DeepSWE v1.1 scores reported by vendors. Column headers are sort buttons.
Sources
Gemini 4 ArgonGoogle77.9%announced by Googlesource — Gemini 4 Argon
DeepSeek V4.1-Flash-1017DeepSeek77%announced by DeepSeek, Mini-SWE-V2 harnesssource — DeepSeek V4.1-Flash-1017
MiniMax M3.1 FlashMiniMax73.7%announced by MiniMaxsource — MiniMax M3.1 Flash
Grok 4.7xAI71%high effort, announced by xAIsource — Grok 4.7
Kimi K3Moonshot AI67.3%mini-SWE-agent harness (DeepSWE leaderboard), cited by Moonshotsource — Kimi K3
GLM-5.3Z.ai66.9%announced by Z.aisource — GLM-5.3
GLM-5.3-FlashZ.ai63.4%announced by Z.aisource — GLM-5.3-Flash
DeepSeek V4-Pro-0813DeepSeek62.7%DeepSeek Harness (minimal mode), max effort, announced by DeepSeeksource — DeepSeek V4-Pro-0813
Muse Spark Open (816B-A42B)Meta60%announced by Meta, preferred harness, xhigh reasoningsource — Muse Spark Open (816B-A42B)
Qwen3.8-MaxAlibaba (Qwen)56.6%best of Claude Code / mini-SWE-agent, announced by Qwensource — Qwen3.8-Max
Qwen3.8-27BAlibaba (Qwen)42.2%Claude Code harness, announced by Qwensource — Qwen3.8-27B

What is DeepSWE? · Methodology