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 9, 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 9, 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 Claude Fable 5 (80.52%) and GPT-5.6 Luna (79.03%). BenchLM does not use these results to rank models overall.
GPT-5.6 Sol
OpenAI
openai/gpt-5.6-sol
Claude Fable 5
Anthropic
anthropic/claude-fable-5
GPT-5.6 Luna
OpenAI
openai/gpt-5.6-luna
The published Terminal-Bench 2.1 snapshot is tightly clustered at the top: GPT-5.6 Sol sits at 85.77%, while the third row is only 6.74 points behind. The broader top-10 spread is 16.11 points, so the benchmark still separates strong models even when the leaders cluster.
41 models have been evaluated on Terminal-Bench 2.1. The benchmark falls in the External benchmark mirrors category. BenchLM tracks this category separately from its weighted global scoring system, so these results are best compared on the dedicated Korean benchmark views. 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.
Vals Terminal-Bench 2.1 mirror score table (41 models)
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?
41 AI models are included in BenchLM's mirrored Terminal-Bench 2.1 snapshot, based on the public leaderboard captured on July 9, 2026.
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