T1-Bench - Tool Output Match: leaderboard

T1-Bench (2026) tests tool-using assistants in multi-turn customer-service conversations across 11 service domains and 14 multi-domain combinations, with a simulated user following a written policy and three trials per conversation. This board is the percentage of reference tool outputs that the conversation reproduces exactly; higher is better.

Metric: Exact-match rate (%) of ground-truth tool outputs reproduced by some tool call in the conversation; T1-Bench: 525 multi-turn customer-service conversations over 25 domain settings (11 single domains and 14 combinations of 2 to 11 domains, 76 tools), a Gemma4-26B-A4B-it user simulator, three trials per conversation at temperature 1.0; averages weighted by conversations per setting; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 4 31B (IT)82.85#342
2Gemma 4 26B A4B (IT)79.88#549
3gemma-4-E4B-it79.88#1469
4Claude Sonnet 4.579.28#250
5Claude Opus 4.679#102
6Claude Haiku 4.578.95#568
7GPT-OSS-120B (High)78.19#700 (GPT-OSS-120B)
8Gemma 4 E2B (IT)76.39#2303
9GPT-5.4 (Low)68.89#123 (GPT-5.4)
10GPT-5.4 Mini (Low)63.77#389 (GPT-5.4 Mini)
11GPT-OSS-20B (High)57.49#1147 (GPT-OSS-20B)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=t1-bench-tool-output-match · How It Works · Data refreshed daily, snapshot 2026-11-13.