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Terminal Bench
Last discussed Oct 14, 2026
An AI model benchmark used to evaluate performance of large language models on coding and agentic tasks.
Recently discussed in
Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert
Nathan Lambert · Oct 14, 2026
Recursive's $670M Bet on Self-Improving AI, Sonnet 5.5 Hits 70%, Elon Co-Leads Pentagon Push EP 299
Richard Socher · Oct 3, 2026
The AI factory playbook for engineering teams
Zach Lloyd · Sep 21, 2026
What creators say
NL
Nathan Lambert
mentioned
"It's for terminal tasks, which are like super popular at Terminal Bench, whatever number we're on."
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RS
Richard Socher
mentioned
4.0
"On Terminal Bench 4.0, Sonnet 5.5 jumped from 10% to 70%. Pretty extraordinary."
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ZL
Zach Lloyd
mentioned
vs: Mentioned as a generic public benchmark; Warp recreates similar evaluations o...
"There are these public benchmarks like SWE-bench and Terminal Bench that are on generic data. You can recreate on your own data from real past factory tasks."
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Claire Vo
mentioned
2.1
Used for: Benchmarking AI model performance on coding and agentic tasks
"It is the highest performing when using the ultra mode on Terminal Bench 2.1."
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