Benchmarks / Coding

SWE-bench Verified (Vals)

Solving production software engineering tasks Scores are the values published by VALS AI. Source benchmark version 1.

85models
–Open Index weight
2026-09-01last updated
Vals AIpublisher

SWE-bench Verified (Vals)

Higher is better · best effort per model

Chart settings
85 of 85 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5max97.0%$1.29–
2DeepSeek V4 Pro 0813max96.4%$0.103–
3GPT-5.6 Solmax96.2%$1.15–
4Grok 4.6high95.6%$0.785–
5GPT-5.6 Terramax95.4%$0.401–
6GLM 5.3max95.4%$0.338–
7Fable 5max95.0%$2.05–
8Kimi K3max93.4%$0.760–
9GPT-5.6 Lunamax93.0%$0.043–
10GLM 5.3 Flashmax92.0%$0.018–
11DeepSeek V4 Flash 0731high88.8%$0.0099–
12Opus 4.8max88.6%$1.92–
13Grok 4.5high86.6%$0.540–
14Muse Spark 1.2xhigh86.6%$0.554–
15Qwen 3.8 27Bxhigh86.0%$1.08–
16Qwen 3.8 Maxmax85.6%$1.13–
17GLM 5.2max82.8%$0.710–
18GPT-5.5xhigh82.6%$1.36–
19Inkling Smallxhigh82.2%$0.134–
20Muse Spark 1.1xhigh82.0%$0.352–
21Opus 4.7max82.0%$2.42–
22Gemini 3.7 Flashhigh80.8%$1.44–
23Gemini 3.8 Flashhigh80.0%$2.19–
24Composer 2.5none79.6%–Cursor CLI
25Gemini 3.6 Flashhigh79.6%$1.19–
26Sonnet 5max79.6%$1.49–
27Gemini 3.5 Flashhigh78.8%$0.954–
28Gemini 3.1 Prohigh78.8%$0.783–
29GPT-5.4xhigh78.2%$0.801–
30Opus 4.6max78.2%$1.22–
31Kimi K2.7 Codemax78.2%$0.265–
32GPT-5.3 Codexxhigh78.0%$0.455–
33Inklingmax77.6%$0.586–
34Sonnet 4.6max77.4%$1.30–
35DeepSeek V4max77.4%$0.437–
36Opus 4.5high76.4%$1.05–
37Gemini 3 Prohigh76.4%$0.772–
38GLM 5.1max76.4%$0.457–
39Kimi K2.6max76.2%$0.275–
40GPT-5.2xhigh75.8%$1.45–
41Gemini 3 Flashhigh75.0%$0.280–
42Gemini 3.5 Flash-Litehigh75.0%$0.309–
43MiniMax M3max75.0%$0.416–
44MiniMax M2.1–74.8%$0.439–
45Muse Spark–74.4%$0.444–
46MiniMax M2.5high74.2%$0.457–
47MiMo V2.5 Proxhigh74.0%$0.023–
48MiniMax M2.7high73.8%$0.466–
49Qwen 3.6 Plusmax73.4%$0.869–
50GPT-5.4 Minixhigh73.0%$0.511–
51Qwen 3.6 Maxmax72.8%$1.57–
52GPT-5.2 Codexhigh72.4%$0.312–
53Grok 4.20xhigh72.2%$0.516–
54Grok 4.3high71.4%$0.223–
55GLM 5high71.4%$0.449–
56Qwen 3.5 Plusnone71.2%$0.964–
57MiMo V2.5xhigh71.0%$0.010–
58Kimi K2.5max70.0%$0.168–
59Sonnet 4.5high70.0%$0.807–
60Qwen 3.6 27Bmax70.0%$0.914–
61GPT-5.4 Nanohigh69.8%$0.098–
62GPT-5.1high69.8%$0.713–
63GLM 4.7none69.4%$0.204–
64GPT-5high69.0%$0.270–
65Nemotron 3 Ultra 550B A55Bmax69.0%––
66Qwen 3.7 Maxmax68.8%$3.23–
67DeepSeek V3.2high67.6%$0.673–
68Haiku 4.5xhigh66.6%$0.366–
69Mistral Medium 3.5high66.4%$4.00–
70Ling 3.0 Flash–65.2%$0.032–
71Qwen 3.5 Flashmax64.4%$0.263–
72Gemini 3.1 Flash-Litehigh62.8%$0.105–
73Devstral 2none62.8%$0.747–
74GPT-5 Minihigh60.8%$0.050–
75Kimi K2medium60.2%$0.366–
76Grok 4high57.8%$1.42–
77Laguna M.1–57.6%$0.520–
78Laguna XS.2–55.2%$0.170–
79Gemini 2.5 Prohigh54.4%$0.352–
80Nemotron 3.5 Lightning–52.8%$0.032–
81Grok 4 Fastnone45.4%$0.051–
82Grok 4.1 Fasthigh41.4%$0.028–
83Mistral Large 3none41.4%$0.322–
84gpt-oss-120bhigh33.6%$0.172–
85Command Anone7.8%$0.210–