# Claude Opus 4.6Max

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Anthropic

Canonical URL: https://benchize.com/models/claude-opus-4-6-max
Last updated: Thu, 22 Oct 2026 06:30:09 GMT

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Anthropic

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Latency | Source |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| [τ-bench banking knowledge](https://benchize.com/benchmarks/sierra%3Abanking_knowledge.md) | 27.32% | — | 11 / 19 | — | — | [sierra](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4-6_sierra_2026-05-05/submission.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_1` \| 27.32 \| percent \| consistent_success_across_k_trials \| Higher is better \| \| `pass_2` \| 18.73 \| percent \| consistent_success_across_k_trials \| Higher is better \| \| `pass_3` \| 14.18 \| percent \| consistent_success_across_k_trials \| Higher is better \| \| `pass_4` \| 11.34 \| percent \| consistent_success_across_k_trials \| Higher is better \| ### Configuration benchmarkVersion 1.0.1 harness tau-bench methodology {"evaluation_date":"2026-05-06","notes":"Evaluated with reasoning_effort 'max' (the highest effort level this model supports). Retrieval: AllTools (BM25 + dense OpenAI text-embedding-3-large + sandboxed shell). User simulator: gpt-5.2 with reasoning_effort: low. 4 trials. Seed: 300. Banking_knowledge domain only — other domains intentionally excluded from this comparison; the AllTools setting standardizes retrieval across models. banking_knowledge re-graded under tau2-bench v1.0.1 grading fixes on 2026-07-15 (extra-read logging #329, numeric-argument normalization #397, T077-T086 gold trajectories #402); scores prior to v1.0.1 are not comparable.","tau2_bench_version":"1.0.1","user_simulator":"gpt-5.2","verification":{"details":"Banking_knowledge domain only, AllTools retrieval. Trajectories suppressed for this preliminary AllTools comparison; raw per-task results retained internally.","modified_prompts":false,"omitted_questions":false}} modality text Reasoning effort max retrieval alltools sourceSubmission claude-opus-4-6_sierra_2026-05-05 ### Source [Original source](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4-6_sierra_2026-05-05/submission.json) Source sierra Original model label Claude Opus 4.6 Evaluated 2026-05-05 Observed 2026-10-21T16:54:49.960Z Evidence SHA-256 `880ea58f76664a0f0e06c3117c6a8b75c4007149d06cc3de04f852f62487f3f3` Source locator `/results/banking_knowledge` |  |  |  |  |  |  |  |
| [MCP Atlas](https://benchize.com/benchmarks/scale%3Amcp_atlas.md) | 76.8source score | CI 74.1–79.5 | 10 / 22 | — | — | [scale](https://labs.scale.com/leaderboard/mcp_atlas) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 76.8 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort max Model configuration claude-opus-4-6 (max) sourceModelVersion Not reported thinkingEnabled true ### Reported statistics Uncertainty Confidence interval: 74.1–79.5 contaminationWarning Not reported rank 16 reportedConfidenceHalfWidth 2.7 ### Source [Original source](https://labs.scale.com/leaderboard/mcp_atlas) Source scale Original model label claude-opus-4-6 (max) Observed 2026-10-22T03:30:07.875Z Evidence SHA-256 `7b0bc178e35a1688340e9efca5795a8f54d07e56a98f9cacd5e4471e0da266e9` Source locator `/rows/15` |  |  |  |  |  |  |  |
| [MedScribe / overall](https://benchize.com/benchmarks/vals-ai%3Amedscribe%3Aoverall.md) | 86.74% | SE ±1.94 pp | 14 / 49 | $0.12 | 54.32source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medscribe.BYf5a3C-.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.738 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.115121 \| USD \| per_test \| Lower is better \| \| `latency` \| 54.318 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.94 pp sourcePopulation 109 stderr 1.942 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medscribe.BYf5a3C-.json) Source Vals AI Original model label anthropic/claude-opus-4-6 Source version 1 Observed 2026-10-22T02:10:15.398Z Evidence SHA-256 `271fc122ddc2b0602bd6c7947f65a9a7f0d8cab94f6dc27d62a9380a9317f9c0` Source locator `/tasks/overall/anthropic~1claude-opus-4-6` |  |  |  |  |  |  |  |
| [MedCode / overall](https://benchize.com/benchmarks/vals-ai%3Amedcode%3Aoverall.md) | 48.24% | SE ±2.05 pp | 20 / 49 | $0.00618 | 4.06source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medcode.DehpEDgG.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.244 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.00618 \| USD \| per_test \| Lower is better \| \| `latency` \| 4.058 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 30000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.05 pp sourcePopulation 107 stderr 2.05 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medcode.DehpEDgG.json) Source Vals AI Original model label anthropic/claude-opus-4-6 Source version 1 Observed 2026-10-22T02:10:14.899Z Evidence SHA-256 `988a6ae1e07e33ce031572ed4a804be11c36ee97a1dd75cbe4740fff3b534f8c` Source locator `/tasks/overall/anthropic~1claude-opus-4-6` |  |  |  |  |  |  |  |

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Cite as: Claude Opus 4.6Max — Benchize, https://benchize.com/models/claude-opus-4-6-max (retrieved 2026-10-22)