Terminal-Bench 4.0
2026-10-06 · Terminal agents
- What it measures
- Agent tasks in a terminal: install a toolchain, edit config, run commands, and finish the automation.
- How
- Every display row on the public Terminal-Bench 4.0 board. Columns match the source: agent, model, effort, accuracy, release date, agent org, model org, tokens, and cost. Tied ranks keep the source rank.
- What the score means
- Accuracy is the board's display accuracy, such as 64.8% ± 3.1%, not the unpublished raw decimal. Cost is display cost. The Grok 4.7 cost cell says partial: 324/330.
- Caveats
- It does not measure whether a UI looks right. At a similar pass rate, run cost can differ by an order of magnitude.
- Updates
- The board updated_at is 2026-10-06. This page checked all 35 rows on 2026-10-10.
- Source
- tbench.ai
Full board
35
| # | Agent | Model | Effort | Accuracy | Release date | Agent org | Model org | Tokens | Cost |
|---|
| 1 | Claude Code | Opus 5.5 | max | 64.8% ± 3.1% | Sep 22, 2026 | Anthropic | Anthropic | 8.0B | $4.7k |
| 2 | Claude Code | Sonnet 5.5 | max | 61.8% ± 2.9% | Sep 28, 2026 | Anthropic | Anthropic | 19.4B | $7.3k |
| 3 | Codex | GPT-6 Astra | max | 58.2% ± 2.8% | Sep 3, 2026 | OpenAI | OpenAI | 1.5B | $3.3k |
| 3 | Codex | GPT-6.1 Sol | max | 58.2% ± 3.1% | Sep 29, 2026 | OpenAI | OpenAI | 1.5B | $634.24 |
| 5 | Claude Code | Fable 5.1 | max | 57.9% ± 3.8% | Sep 1, 2026 | Anthropic | Anthropic | 2.7B | $6.2k |
| 5 | Codex | GPT-6 Astra | xhigh | 57.9% ± 2.7% | Sep 3, 2026 | OpenAI | OpenAI | 1.2B | $2.4k |
| 5 | Codex | GPT-6 Astra | high | 57.9% ± 3.0% | Sep 3, 2026 | OpenAI | OpenAI | 1.2B | $2.3k |
| 5 | Claude Code | Fable 5.1 | xhigh | 57.9% ± 3.4% | Sep 1, 2026 | Anthropic | Anthropic | 2.3B | $4.9k |
| 9 | Claude Code | Fable 5.1 | high | 54.5% ± 3.4% | Sep 1, 2026 | Anthropic | Anthropic | 2.2B | $4.0k |
| 10 | Codex | GPT-6 Astra | medium | 54.2% ± 2.7% | Sep 3, 2026 | OpenAI | OpenAI | 1.1B | $1.9k |
| 11 | Claude Code | Fable 5.1 | medium | 53.9% ± 3.4% | Sep 1, 2026 | Anthropic | Anthropic | 1.6B | $2.8k |
| 11 | Claude Code | Opus 5 | xhigh | 53.9% ± 3.2% | Jul 24, 2026 | Anthropic | Anthropic | 6.9B | $6.1k |
| 13 | Claude Code | Opus 5 | max | 51.8% ± 3.4% | Jul 24, 2026 | Anthropic | Anthropic | 6.5B | $6.0k |
| 14 | Codex | GPT-6 Astra | low | 50.6% ± 2.8% | Sep 3, 2026 | OpenAI | OpenAI | 889.8M | $1.6k |
| 15 | Claude Code | Opus 5 | high | 50.3% ± 3.7% | Jul 24, 2026 | Anthropic | Anthropic | 5.5B | $4.7k |
| 16 | Codex | GPT-6 Sol | max | 49.4% ± 3.2% | Sep 22, 2026 | OpenAI | OpenAI | 5.0B | $1.5k |
| 17 | Claude Code | Opus 5 | medium | 44.8% ± 3.8% | Jul 24, 2026 | Anthropic | Anthropic | 3.7B | $3.2k |
| 18 | Claude Code | Fable 5 | max | 44.5% ± 3.8% | Jun 9, 2026 | Anthropic | Anthropic | 3.8B | $7.3k |
| 19 | Claude Code | Fable 5.1 | low | 43.3% ± 3.6% | Sep 1, 2026 | Anthropic | Anthropic | 1.3B | $2.4k |
| 20 | Claude Code | GLM-5.3 | max | 41.8% ± 3.2% | Aug 14, 2026 | Anthropic | Z.ai | 8.7B | $2.7k |