Benchmarks / Agentic

Long-Horizon Terminal-Bench

An agent works in a terminal for up to 90 minutes per task on 46 long jobs — building systems, migrating frameworks, playing games move by move — and earns partial credit for real progress. Maintained by Long-Horizon Terminal-Bench authors. Score: Mean reward over the 46 tasks (hidden verifiers pay continuous partial credit from 0 to 1; errors count 0).

21models
–Open Index weight
–last updated

Long-Horizon Terminal-Bench

Higher is better · best effort per model

Chart settings
21 of 21 selected

full table below

#ModelEffortScoreCost / taskHarness
1Grok 4.5max50.5%–Terminus-2
2Sonnet 5max49.7%–Terminus-2
3Opus 4.8max49.2%–Terminus-2
4Fable 5max48.7%–Terminus-2
5GPT-5.6 Solmax45.1%–Terminus-2
6GPT-5.5xhigh44.5%–Terminus-2
7MiniMax M3max38.5%–Terminus-2
8Kimi K3max37.8%–Terminus-2
9Sonnet 4.6max37.3%–Terminus-2
10Kimi K2.7 Codemax36.7%–Terminus-2
11GLM 5.2max31.6%–Terminus-2
12Qwen 3.6 Plusmax31.3%–Terminus-2
13DeepSeek V4 Promax30.7%–Terminus-2
14Qwen 3.7 Maxmax29.6%–Terminus-2
15Hy3xhigh28.8%–Terminus-2
16Gemini 3.1 Prohigh27.9%–Terminus-2
17GPT-5.4xhigh27.2%–Terminus-2
18GLM 5.1max26.7%–Terminus-2
19Kimi K2.6max25.5%–Terminus-2
20GPT-5.3 Codexxhigh21.5%–Terminus-2
21Grok 4.20xhigh10.2%–Terminus-2