Benchmark profile
Vals Terminal-Bench 2.1 (Terminal-Bench 2.1)
State-of-the-art set of difficult terminal-based tasks
Data verifiedHow BenchLM shows Vals Terminal-Bench 2.1 mirror
BenchLM mirrors the public Vals AI Vals Terminal-Bench 2.1 mirror leaderboard captured from https://www.vals.ai/benchmarks/terminal-bench-2-1 and updated by Vals on July 16, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Vals Terminal-Bench 2.1 mirror is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Vals Terminal-Bench 2.1 mirror score on Terminal-Bench 2.1 — July 16, 2026
BenchLM mirrors the published vals terminal-bench 2.1 mirror score view for Terminal-Bench 2.1. GPT-5.6 Sol leads the public snapshot at 85.77% , followed by Kimi K3 (80.90%) and Claude Fable 5 (80.52%). BenchLM does not use these results to rank models overall.
GPT-5.6 Sol
OpenAI
openai/gpt-5.6-sol
Kimi K3
Moonshot AI
kimi/kimi-k3
Claude Fable 5
Anthropic
anthropic/claude-fable-5
Vals Terminal-Bench 2.1 mirror score table (42 models)
ScoreThe published Terminal-Bench 2.1 snapshot places GPT-5.6 Sol first at 85.77%. The third row is 5.24 points behind. The broader top-10 range is 14.98 points, so the table still separates the published systems.
42 models have been evaluated on Terminal-Bench 2.1. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Terminal-Bench 2.1 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Terminal-Bench 2.1
Year
2026
Tasks
Terminal-based task execution
Format
Accuracy score
Difficulty
Frontier terminal-agent execution
BenchLM mirrors the public Vals AI Terminal-Bench 2.1 leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
Terminal-Bench 2.1 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.
FAQ
What does Terminal-Bench 2.1 measure?
State-of-the-art set of difficult terminal-based tasks
Which model leads the published Terminal-Bench 2.1 snapshot?
GPT-5.6 Sol currently leads the published Terminal-Bench 2.1 snapshot with 85.77% vals terminal-bench 2.1 mirror score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Terminal-Bench 2.1?
42 AI models are included in BenchLM's mirrored Terminal-Bench 2.1 snapshot, based on the public leaderboard captured on July 16, 2026.
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