Who ranks #1 on the tau-bench Retail leaderboard?
As of August 20, 2026, Claude Opus 4.6 by Anthropic ranks #1 on tau-bench Retail at 91.9%. API pricing is $5.00/M input and $25.00/M output.
As of August 20, 2026, Claude Opus 4.6 is #1 for tau-bench Retail at 91.9%. Ranked by tau-bench: multi-turn tool use on customer-support workflows. 44 models in this index have a published tau-bench Retail score. Methodology: τ-bench (https://github.com/sierra-research/tau-bench). tau-bench Retail leaderboard with live API prices. tau-bench Retail — tests AI agents on realistic retail customer service interactions. Official methodology: τ-bench (https://github.com/sierra-research/tau-bench).
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As of August 20, 2026, Claude Opus 4.6 by Anthropic is #1 for tau-bench Retail at 91.9%. Ranked by tau-bench: multi-turn tool use on customer-support workflows. This board also tracks tau-bench Retail. Next on the same board: Claude Sonnet 4.6 and Claude Opus 4.5. This tau-bench retail leaderboard ranks models by tau-bench Retail. Scores come from public evals. Prices are the live API rates in the table above.
Sources: τ-bench (https://github.com/sierra-research/tau-bench); OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | tau-bench Retail | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Claude Opus 4.6 | 91.9% | $5.00 | $25.00 |
| 2 | Claude Sonnet 4.6 | 91.7% | $3.00 | $15.00 |
| 3 | Claude Opus 4.5 | 88.9% | $5.00 | $25.00 |
| 4 | LongCat-Flash-Thinking-2601 | 88.6% | $0.30 | $1.20 |
| 5 | Claude Sonnet 4.5 | 86.2% | $3.00 | $15.00 |
| 6 | Claude Haiku 4.5 | 83.2% | $1.00 | $5.00 |
| 7 | Claude Opus 4.1 | 82.4% | $15.00 | $75.00 |
| 8 | GPT-5.2 | 82% | $1.75 | $14.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Claude Opus 4.6 by Anthropic ranks #1 on tau-bench Retail at 91.9%. API pricing is $5.00/M input and $25.00/M output.
The current tau-bench Retail ranking as of August 20, 2026 is 1. Claude Opus 4.6 at 91.9%; 2. Claude Sonnet 4.6 at 91.7%; 3. Claude Opus 4.5 at 88.9%.
GPT OSS 20B is the cheapest scored model on this tau-bench retail leaderboard at $0.05/M input and $0.20/M output ($0.25 blended). Claude Opus 4.6 still leads tau-bench Retail at 91.9%.
Not automatically. Claude Opus 4.6 leads tau-bench Retail, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh tau-bench Retail against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 20, 2026. Treat it as a current index, not a one-off blog post.
tau-bench Retail — tests AI agents on realistic retail customer service interactions. This page ranks models that have published a tau-bench Retail score, with live API token prices on the same row. Official methodology: τ-bench (https://github.com/sierra-research/tau-bench).
This page is the tau-bench Retail leaderboard. Models are sorted by tau-bench Retail, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
The official τ-bench page owns the methodology. This page keeps the published tau-bench Retail score next to live API $/M so you can pick a production SKU, not only a trophy number. Source: https://github.com/sierra-research/tau-bench