Enter opens the highlighted result. Esc closes.

Terminal-Bench 4 (Vals AI) leaderboard

Claude Opus 5.5 leads
65.2%
models measured
48
lead over #2
+1.0 pts
median
20.2%

Leader on Terminal-Bench 4 (Vals AI) · read October 21

terminal_bench_4_vals_ai.py


        # Terminal-Bench 4 (Vals AI), read October 21
        leaders = {
            "Claude Opus 5.5": 65.2%,    "Claude Sonnet 5.5": 64.1%,    "GPT-6 Astra": 59.6%,
        }
      

On October 21, 2026, 48 of our catalog's models had a Terminal-Bench 4 (Vals AI) result, and Anthropic Claude Opus 5.5 led with 65.2%.

Tasks finished in a real terminal with one shared harness, run by Vals AI. Share completed.

Role in the index

A coding board we show beside the Vibe Coding Index, not inside it: the index keeps the four boards it was defined on, so a score does not move every time a board is added. Read the methodology

48 models with a result

Original board: Vals AI boards
Terminal-Bench 4 (Vals AI) results for models in the catalog
# Model Result Cost per test Duration, as printed Evidence Coding index Output $/Mtok
1 Claude Opus 5.5Anthropic 65.2% $13.20 1h 04m 92.2 $20.00
2 Claude Sonnet 5.5Anthropic 64.1% $16.51 1h 22m 88.9 $10.00
3 GPT-6 AstraOpenAI 59.6% $9.58 35m 42s 88.7 $50.00
4 Claude Fable 5.1Anthropic 58.1% $17.18 1h 00m 89.1 $50.00
5 Gemini 4 ArgonGoogle 57.6% $17.64 53m 35s 80.5 $10.00
6 GPT-6.1 SolOpenAI 55.0% $1.72 45m 12s 88.7 $10.00
7 Claude Opus 5Anthropic 53.5% $18.60 1h 07m 81.8 $25.00
8 Muse WonderMeta 49.5% $14.66 54m 41s 64.5 $20.00
9 GPT-6 SolOpenAI 44.4% $5.79 34m 56s 82.8 $10.00
10 Claude Fable 5Anthropic 41.4% $30.34 1h 08m 82.1 $50.00
11 GLM 5.3Z.ai 38.9% $9.37 1h 23m 73.1 $1.40
12 GPT-5.6 SolOpenAI 37.9% $7.98 33m 46s 76.7 $20.00
13 GLM 5.3 FlashZ.ai 37.4% $1.22 1h 01m 71.0 $0.50
14 Claude Haiku 5.5Anthropic 36.4% $3.12 51m 56s 75.9 $0.50
15 Qwen3.8 Max (0902)Qwen 34.3% $10.63 2h 28m 63.5 $6.00
16 DeepSeek V4.1 Flash 1017DeepSeek 31.8% $0.54 41m 10s 83.3 $0.60
17 Step 5 PreviewStepFun 31.8% $3.11 1h 58m 71.4 $2.70
18 MiMo-V2.6-ProXiaomi 31.3% $0.50 2h 42m 72.6 $0.87
19 Grok 4.7xAI 28.8% $18.01 50m 08s 75.0 $6.00
20 Mistral Large 4Mistral AI 27.8% $10.25 1h 40m 55.3 $4.18
21 MiMo-V2.6-FlashXiaomi 24.2% $0.22 2h 25m 61.9 $0.28
22 Claude Opus 4.8Anthropic 23.2% $17.14 1h 11m 66.0 $25.00
23 GPT-5.6 TerraOpenAI 22.7% $5.60 31m 29s 69.0 $12.00
24 Ember-1Fireworks 20.7% $19.48 1h 55m Not benchmarked $15.00
25 DeepSeek V4.1 FlashDeepSeek 19.7% $0.50 48m 22s 77.2 $0.525
26 Gemini 3.8 FlashGoogle 19.7% $8.65 1h 47m 70.5 $4.125
27 DeepSeek V4 Flash 0731DeepSeek 18.7% $0.77 1h 46m Not benchmarked $1.32
28 Kimi K3Moonshot AI 17.2% $12.48 3h 09m 61.8 $11.936
29 Grok 4.6xAI 17.2% $5.06 29m 25s 76.4 $6.00
30 DeepSeek V4 Pro 0813DeepSeek 14.1% $3.31 1h 32m 54.6 $1.98
31 GPT-6 LunaOpenAI 13.6% $0.35 32m 46s 71.4 $0.50
32 Gemini 3.7 FlashGoogle 12.1% $8.71 1h 24m 69.9 $3.75
33 GPT-5.6 LunaOpenAI 11.6% $0.73 35m 55s 61.5 $1.20
34 DeepSeek V4 Pro 0423DeepSeek 11.1% $3.45 1h 26m 35.3 $1.9105
35 Claude Sonnet 5Anthropic 10.6% $26.05 1h 45m 63.5 $10.00
36 Muse Spark 1.3Meta 10.6% $7.04 1h 59m 79.7 $4.25
37 Grok 4.5xAI 8.6% $5.52 33m 43s 75.5 $6.00
38 Hy4 previewTencent 8.1% $2.10 2h 10m 61.6 $2.501
39 Muse Spark OpenMeta 6.6% $7.26 2h 04m 62.1 $4.25
40 Gemini 3.5 FlashGoogle 6.1% $5.98 1h 11m 42.8 $9.00
41 Muse Spark 1.2Meta 6.1% $4.14 1h 18m 65.1 $4.25
42 Gemini 3.1 Pro PreviewGoogle 2.5% $4.11 18m 44s 35.3 $12.00
43 GPT-5.4 MiniOpenAI 2.5% $1.44 29m 30s 28.2 $4.50
44 MiniMax M3MiniMax 1.0% $7.23 1h 16m 57.8 $1.20
45 T InklingThinking Machines 0.5% $2.50 22m 59s 49.7 $4.05
46 MiMo-V2.5-ProXiaomi 0.5% $0.23 2h 07m 40.0 $0.609
47 Mercury 2.5Inception 0.0% $0.37 15m 14s Not benchmarked $0.15
48 T Inkling SmallThinking Machines 0.0% $0.32 11m 45s 29.9 $1.20

Only models in our catalog are listed, and each appears once with its best published run. 132 rows were read from the source on October 21, 2026, and rows that match no catalog model are left out. Cost per test is what Vals AI reports one test cost on the run behind the result, in US dollars. Every other column is a figure the board publishes for the same run.