benchgap
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Terminal-Bench 2.1 → Terminal-Bench 2.1 (Vals AI)

Terminal-Bench 2.1 (Vals AI) is estimated from Terminal-Bench 2.1 with a linear curve fitted on 29 models measured on both: y = 0.7724·x + 0.0597, R² = 0.59, cross-validated error 7.4 pp. It is used for 44 estimates.

Estimated modelTerminal-Bench 2.1Terminal-Bench 2.1 (Vals AI)Source
Claude Mythos 588.0%73.9%estimated ± 7.4 pp, medium confidence
Ultramarine 1 Flash83.2%70.2%estimated ± 7.4 pp, medium confidence
Sakana Fugu-Ultra82.1%69.4%estimated ± 7.4 pp, medium confidence
Ember-182.0%69.3%estimated ± 7.4 pp, medium confidence
SWE-1.781.5%68.9%estimated ± 7.4 pp, medium confidence
Sakana Fugu80.2%67.9%estimated ± 7.4 pp, medium confidence
Beam 1.0 501B-A23B80.1%67.8%estimated ± 7.4 pp, medium confidence
Particle-179.9%67.7%estimated ± 7.4 pp, medium confidence
Beam 1.0 501B-A23B FP878.9%66.9%estimated ± 7.4 pp, medium confidence
Beam 1.0 501B-A23B NVFP478.4%66.5%estimated ± 7.4 pp, medium confidence
Atria Dawn Preview78.3%66.4%estimated ± 7.4 pp, medium confidence
Ornith-1.0-397B77.5%65.8%estimated ± 7.4 pp, medium confidence
dots3-note Preview75.1%64.0%estimated ± 7.4 pp, medium confidence
Jais-3-375B-A23B73.8%63.0%estimated ± 7.4 pp, medium confidence
OrcaCyber-Nano-1.072.5%62.0%estimated ± 7.4 pp, medium confidence
Seed 2.1 Pro71.0%60.8%estimated ± 7.4 pp, medium confidence
Apodex 1.170.8%60.6%estimated ± 7.4 pp, medium confidence
Laguna S 2.170.2%60.2%estimated ± 7.4 pp, medium confidence
Quasar 438B69.3%59.5%estimated ± 7.4 pp, medium confidence
Seed 2.1 Turbo67.6%58.2%estimated ± 7.4 pp, medium confidence
Jais-3-MoVA-36B-A4B67.3%57.9%estimated ± 7.4 pp, medium confidence
Nemotron 3.5 Super VL 120B A12B66.7%57.5%estimated ± 7.4 pp, medium confidence
Pokee-Isaac 28B65.1%56.2%estimated ± 7.4 pp, medium confidence
Ornith-1.0-35B64.2%55.6%estimated ± 7.4 pp, medium confidence
Jais-3-32B63.7%55.2%estimated ± 7.4 pp, medium confidence
MAI-Code-1.1-Flash62.9%54.5%estimated ± 7.4 pp, medium confidence
Nemotron 3.5 Super VL 120B A12B NVFP460.8%52.9%estimated ± 7.4 pp, medium confidence
Step 3.7 Flash59.5%51.9%estimated ± 7.4 pp, medium confidence
Solar Pro 457.0%50.0%estimated ± 7.4 pp, medium confidence
Flint54.9%48.4%estimated ± 7.4 pp, medium confidence
Nemotron 3.5 Bolt 74B-A9B BF1653.9%47.6%estimated ± 7.4 pp, low confidence
Ternary Bonsai 2 27B52.8%46.7%estimated ± 7.4 pp, low confidence
Muse Glimmer 30B51.7%45.9%estimated ± 7.4 pp, low confidence
Nemotron 3.5 Bolt 74B-A9B51.0%45.3%estimated ± 7.4 pp, low confidence
Jais-3-7B46.4%41.8%estimated ± 7.4 pp, low confidence
Ornith-1.5-9B46.2%41.6%estimated ± 7.4 pp, low confidence
K-EXAONE 2.043.8%39.8%estimated ± 7.4 pp, low confidence
Ornith-1.0-9B43.1%39.3%estimated ± 7.4 pp, low confidence
Jais-3-3.7B41.2%37.8%estimated ± 7.4 pp, low confidence
A.X K236.0%33.8%estimated ± 7.4 pp, low confidence
Granite 4.2 30B29.2%28.5%estimated ± 7.4 pp, low confidence
Nemotron 3.5 Lightning 30B A3B NVFP423.5%24.1%estimated ± 7.4 pp, low confidence
Granite 4.2 8B20.6%21.8%estimated ± 7.4 pp, low confidence
Mellum2.1-12B-A2.5B-Thinking17.4%19.4%estimated ± 7.4 pp, low confidence

Fitted on

ModelTerminal-Bench 2.1Terminal-Bench 2.1 (Vals AI)
Claude Fable 584.3%80.5%
Claude Opus 4.874.6%71.9%
Claude Sonnet 580.4%74.5%
DeepSeek V4.1 Flash 101790.6%74.5%
DeepSeek V4 Flash 073182.7%67.0%
DeepSeek V4 Pro 081387.9%54.7%
Gemini 3.5 Flash76.2%74.2%
Gemini 3.5 Flash-Lite54.0%50.2%
Gemini 3.7 Flash85.8%77.5%
Gemini 3.8 Flash89.4%81.3%
GLM-5.281.0%67.8%
GLM-5.388.2%71.5%
GLM-5.3-Flash84.3%62.9%
GPT-5.6 Luna84.7%79.0%
GPT-5.6 Sol91.9%85.8%
GPT-5.6 Terra87.4%77.5%
Grok 4.583.3%67.8%
Hy4 preview85.4%55.1%
Inkling63.8%47.6%
Inkling-Small64.7%55.1%
Kimi K388.3%80.9%
Ling 3.0 Flash57.0%50.2%
MiniMax M366.0%53.6%
Muse Spark 1.180.0%69.3%
Muse Spark 1.282.9%69.7%
Muse Spark 1.388.8%72.3%
Nemotron 3 Ultra56.4%50.9%
Qwen3.8-27B73.0%58.4%
Qwen3.8 Max86.6%67.4%