Terminal-Bench 3.0 leaderboard
- Claude Opus 5 leads
- 42.7%
- models measured
- 11
- lead over #2
- +8.1 pts
- median
- 21.1%
Leader on Terminal-Bench 3.0 · read November 5
# Terminal-Bench 3.0, read November 5
leaders = {
"Claude Opus 5": 42.7%, "GPT-5.6 Sol": 34.6%, "Claude Fable 5": 34.1%,
}
On November 5, 2026, 11 of our catalog's models had a Terminal-Bench 3.0 result, and Anthropic Claude Opus 5 led with 42.7%, ahead of OpenAI GPT-5.6 Sol at 34.6%.
Terminal-Bench 3.0 gives an AI agent tasks to finish in a real command-line terminal. The number is the accuracy the Terminal-Bench team publishes on its official 3.0 leaderboard: the share of tasks the agent completes. Each version of Terminal-Bench is a different task set, so 3.0 results are not comparable with the other versions.
How to read the score: Each entry on the board is a model run inside an agent harness (Claude Code, Codex, mini-SWE-agent and others), at one reasoning effort. We show the best result per model and name the agent and the effort. The best result can come from an agent the board lists from a third party, not the maker.
Role in the index
A coding board we show beside the Vibe Coding Index, not inside it: the index keeps the six boards it was defined on, so a score does not move every time a board is added. Read the methodology
| # | Model | Result | Evidence | Coding index | Output $/Mtok |
|---|---|---|---|---|---|
| 1 | Claude Opus 5Anthropic | 42.7% | 81.6 | $25.00 | |
| 2 | GPT-5.6 SolOpenAI | 34.6% | 70.7 | $20.00 | |
| 3 | Claude Fable 5Anthropic | 34.1% | 75.9 | $50.00 | |
| 4 | GLM 5.3Z.ai | 32.4% | 68.5 | $4.40 | |
| 5 | Grok 4.6xAI | 26.5% | 65.7 | $6.00 | |
| 6 | Claude Opus 4.8Anthropic | 21.1% | 62.8 | $25.00 | |
| 7 | GPT-5.6 TerraOpenAI | 20.8% | 63.8 | $12.00 | |
| 8 | Grok 4.5xAI | 15.7% | 52.3 | $6.00 | |
| 9 | Claude Sonnet 5Anthropic | 14.6% | 54.7 | $10.00 | |
| 10 | GPT-5.6 LunaOpenAI | 14.3% | 55.3 | $1.20 | |
| 11 | GLM 5.2Z.ai | 4.6% | 61.1 | $4.40 |
Only models in our catalog are listed, and each appears once with its best published run. 62 rows were read from the source on November 5, 2026, and rows that match no catalog model are left out.
The board above is Terminal-Bench (tbench.ai)'s own run. Model makers also report Terminal-Bench 3.0 in their release announcements; those numbers are below, with the date and the announcement. They are not independent and do not count toward any index.
| Rank | Model | Score | Setting | Reported by | Date |
|---|---|---|---|---|---|
| 1 | DeepSeek V4.1 Flash | 30.0% | Pass@1 | DeepSeek | September 10, 2026 (model release) |
| 2 | GLM 5.3 | 28.3% | Not published | Z.ai | August 18, 2026 (model release) |
| 3 | Gemini 3.7 Flash | 14.9% | Not published | August 13, 2026 (model release) | |
| 4 | Gemini 3.6 Flash | 5.4% | Not published | August 13, 2026 (model release) | |
| 5 | GLM 5.2 | 4.6% | Not published | Z.ai | August 18, 2026 (model release) |