Vals Terminal-Bench 4.0 (Terminal-Bench 4.0 (Vals))
We show this table for reference; we do not rank on it.
Vals AI’s independent run of the Terminal-Bench 4.0 frontier terminal suite, with per-domain splits.
Vals Terminal-Bench 4.0 mirror score on Terminal-Bench 4.0 (Vals) — September 27, 2026
We mirror the published vals terminal-bench 4.0 mirror score view for Terminal-Bench 4.0 (Vals). Claude Opus 5.5 leads the public snapshot at 61.62%, followed by GPT-6 Astra (57.07%) and Claude Sonnet 5.5 (53.03%). We do not use these results to rank models overall.
Claude Opus 5.5
Anthropic
GPT-6 Astra
OpenAI
max reasoning
Claude Sonnet 5.5
Anthropic
37 modelsAgenticCurrentDisplay onlyUpdated September 27, 2026
Vals Terminal-Bench 4.0 mirror score table (37 models)
ScoreHow Vals Terminal-Bench 4.0 mirror is shown here
BenchLM mirrors the public Vals AI Vals Terminal-Bench 4.0 mirror leaderboard captured from https://www.vals.ai/benchmarks/terminal-bench-4 and updated by Vals on September 27, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Vals Terminal-Bench 4.0 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
The published Terminal-Bench 4.0 (Vals) snapshot places Claude Opus 5.5 first at 61.62%. The third row is 8.59 points behind. The broader top-10 range is 35.35 points, so the table still separates the published systems.
37 models have been evaluated on Terminal-Bench 4.0 (Vals). The benchmark falls in the Agentic category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Terminal-Bench 4.0 (Vals) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Terminal-Bench 4.0 (Vals)
Year
2026
Tasks
Frontier-difficulty terminal tasks across seven domains
Format
Accuracy score
Difficulty
Frontier terminal-agent execution
Vals publishes overall accuracy plus software, science, ML, operations, hardware, security, and media splits with standard error, latency, and cost per test. BenchLM mirrors the board on a dedicated key so a Vals run never overwrites the official Terminal-Bench 4.0 rows, and keeps it display only and outside weighted rankings.
Freshness and provenance
Version
Terminal-Bench 4.0 (Vals) 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.
Questions
What does Terminal-Bench 4.0 (Vals) measure?
Vals AI’s independent run of the Terminal-Bench 4.0 frontier terminal suite, with per-domain splits.
Which model leads the published Terminal-Bench 4.0 (Vals) snapshot?
Claude Opus 5.5 currently leads the published Terminal-Bench 4.0 (Vals) snapshot with 61.62% vals terminal-bench 4.0 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 4.0 (Vals)?
The September 27, 2026 snapshot contains 37 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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