Benchmarks / Agentic

Terminal-Bench 4.0 (Vals)

Vals AI's Terminal-Bench 4.0 aggregate scores from its external-runner leaderboard. Vals publishes a separate system set and score series from the tbench.ai harness-plus-model leaderboard, so the two sources remain distinct.

47models
–Open Index weight
2026-10-13last updated
Vals AIpublisher

Terminal-Bench 4.0 (Vals)

Higher is better · best effort per model

Chart settings
47 of 47 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5.5max65.2%$13.20–
2Sonnet 5.5max64.1%$16.51–
3GPT-6 Astramax59.6%$9.58–
4Fable 5.1max58.1%$17.18–
5Wonder Fullmax58.1%$10.53–
6Gemini 4high57.6%$17.64–
7GPT-6.1 Solmax55.1%$1.72–
8Opus 5max53.5%$18.60–
9Wondermax49.5%$14.66–
10GPT-6 Solmax44.4%$5.79–
11Fable 5max41.4%$30.34–
12GLM 5.3max38.9%$9.37–
13GPT-5.6 Solmax37.9%$7.98–
14GLM 5.3 Flashmax37.4%$1.22–
15Haiku 5.5max36.4%$3.12–
16Qwen 3.8 Maxmax34.3%$10.63–
17Step 5 Preview–31.8%$3.11–
18MiMo V2.6 Prohigh31.3%$0.498–
19Grok 4.7xhigh28.8%$18.01–
20Muse Spark 1.3max24.7%$6.65–
21MiMo V2.6 Flashhigh24.2%$0.216–
22Mistral Large 4high23.2%$7.90–
23Opus 4.8max23.2%$17.14–
24GPT-5.6 Terramax22.7%$5.60–
25Ember-1–20.7%$19.48–
26DeepSeek V4.1 Flashhigh19.7%$0.499–
27Gemini 3.8 Flashhigh19.7%$8.65–
28DeepSeek V4 Flash 0731high18.7%$0.766–
29Grok 4.6high17.2%$5.06–
30Kimi K3max17.2%$12.48–
31DeepSeek V4 Pro 0813max14.1%$3.31–
32GPT-6 Lunamax13.6%$0.355–
33Gemini 3.7 Flashhigh12.1%$8.71–
34GPT-5.6 Lunamax11.6%$0.732–
35DeepSeek V4max11.1%$3.45–
36Sonnet 5max10.6%$26.05–
37Grok 4.5high8.6%$5.52–
38Hy4–8.1%$2.10–
39Gemini 3.5 Flashhigh6.1%$5.98–
40Muse Spark 1.2xhigh6.1%$4.14–
41Gemini 3.1 Prohigh2.5%$4.11–
42GPT-5.4 Minixhigh2.5%$1.44–
43MiniMax M3max1.0%$7.23–
44Inklingmax0.5%$2.50–
45MiMo V2.5 Proxhigh0.5%$0.233–
46Inkling Smallxhigh0.0%$0.322–
47Mercury 2.5high0.0%$0.368–