Vals Terminal-Bench 2.1 (Terminal-Bench 2.1)
State-of-the-art set of difficult terminal-based tasks
Data verified 24 confirmed releases in the last 30 daysStart the free Radar BriefHow 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 August 19, 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.
Snapshot
Vals Terminal-Bench 2.1 mirror score on Terminal-Bench 2.1 — August 19, 2026
We mirror 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 Opus 5 (84.64%) and Kimi K3 (80.90%). We do not use these results to rank models overall.
GPT-5.6 Sol
OpenAI
max reasoning
Claude Opus 5
Anthropic
Kimi K3
Moonshot AI
Vals Terminal-Bench 2.1 mirror score table (57 models)
ScoreThe published Terminal-Bench 2.1 snapshot places GPT-5.6 Sol first at 85.77%. The third row is 4.87 points behind. The broader top-10 range is 11.24 points, so the table still separates the published systems.
57 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?
The August 19, 2026 contains 57 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
Read a sample issueJoin 2,000+ readers.
One email each week. Unsubscribe anytime.