Benchmarks / Agentic

EnterpriseBench CoreCraft

Uses Surge AI's first-party enterprise-task leaderboard score. Score: score. Collected by Jake Boggs' benchmark dashboard.

45models
–Open Index weight
–last updated
boggspublisher

EnterpriseBench CoreCraft

Higher is better · best effort per model

Chart settings
45 of 45 selected

full table below

#ModelEffortScoreCost / taskHarness
1Fable 5.1max77.4%––
2Opus 5.5max74.4%––
3Fable 5max70.3%––
4Opus 5max68.7%––
5Grok 4.7xhigh68.2%––
6Grok 4.6xhigh65.6%––
7Muse Spark 1.3xhigh61.9%––
8Gemini 3.8 Flashhigh58.5%––
9Qwen 3.8 Flashxhigh57.4%––
10Gemini 3.7 Flashhigh55.9%––
11DeepSeek V4 Promax53.3%––
12Opus 4.8max52.3%––
13GLM 5.3max51.8%––
14Sonnet 5max51.3%––
15GPT-5.5xhigh51.3%––
16Gemini 3.5 Flashhigh50.8%––
17GLM 5.3 Flashmax46.7%––
18GPT-5.6 Solmax46.2%––
19DeepSeek V4 Flashmax45.6%––
20GPT-6 Lunamax43.1%––
21GPT-6 Solmax43.1%––
22Kimi K3max43.1%––
23GPT-5.2xhigh42.6%––
24GPT-6 Astramax42.6%––
25GLM 5.2xhigh42.1%––
26DeepSeek V4.1 Flashmax41.5%––
27Hy3high41.0%––
28Gemini 3.6 Flashhigh39.5%––
29GPT-5.4xhigh36.4%––
30Opus 4.7max35.9%––
31Opus 4.6max30.8%––
32Gemini 3.1 Prohigh27.2%––
33Qwen 3.7 Maxmax26.2%––
34Kimi K2.6max24.6%––
35DeepSeek V3.2high24.1%––
36Grok 4.1 Fasthigh20.5%––
37GPT-5.2 Codexxhigh20.1%––
38Gemini 3 Flashhigh20.0%––
39GLM 5high17.4%––
40Sonnet 4.6max16.4%––
41Gemini 3 Prohigh14.4%––
42Qwen 3.5 Plusnone11.3%––
43Kimi K2.5max8.7%––
44Mistral Large 3none3.6%––
45Qwen 3 Maxmax3.6%––