A display-only Artificial Analysis coding metric for agentic coding and terminal use on a harder Terminal-Bench slice.
BenchLM mirrors the published score view for Terminal-Bench Hard. GPT-5.5 leads the public snapshot at 60.6% , followed by Claude Opus 4.8 (58.3%) and GPT-5.4 (57.6%). BenchLM does not use these results to rank models overall.
GPT-5.5
OpenAI
Claude Opus 4.8
Anthropic
GPT-5.4
OpenAI
The published Terminal-Bench Hard snapshot is tightly clustered at the top: GPT-5.5 sits at 60.6%, while the third row is only 3.0 points behind. The broader top-10 spread is 12.1 points, so the benchmark still separates strong models even when the leaders cluster.
117 models have been evaluated on Terminal-Bench Hard. The benchmark falls in the Coding category. This category carries a 20% weight in BenchLM.ai's overall scoring system. Terminal-Bench Hard is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Agentic coding and terminal tasks
Format
Task success rate
Difficulty
Professional software engineering
BenchLM stores Terminal-Bench Hard separately from Terminal-Bench 2.0 because OpenRouter and Artificial Analysis publish it as a distinct benchmark card.
Version
Terminal-Bench Hard 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A display-only Artificial Analysis coding metric for agentic coding and terminal use on a harder Terminal-Bench slice.
GPT-5.5 by OpenAI currently leads with a score of 60.6% on Terminal-Bench Hard.
117 AI models have been evaluated on Terminal-Bench Hard on BenchLM.
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