# Claude Opus 4.1 > Source: Benchize (https://benchize.com) — https://benchize.com/models/claude-opus-4-1. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/claude-opus-4-1. Anthropic Canonical URL: https://benchize.com/models/claude-opus-4-1 Last updated: Thu, 22 Oct 2026 07:32:33 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Anthropic ## Benchmarks | Benchmark | Score | ± | Rank | Source | | | --- | --- | --- | --- | --- | --- | | [DesignArena 3D design generation](https://benchize.com/benchmarks/designarena%3A3d-design.md) | 1,153elo | — | 51 / 110 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=3d-design) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1153 \| elo \| 3d-design \| Higher is better \| ### Configuration arenaType models category 3d inputModality Not reported sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics averageGenerationTimeMs 76759 battles 5947 losses 2858 standardError Not reported winRate 51.9 wins 3089 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=3d-design) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:37:58.515Z Evidence SHA-256 `bcc0267f7bc7e9ec112306b3a35413cf78bbccbfaa838356232d5d5ed0b83d0f` Source locator `/data/80` | | | | | | | [DesignArena Overall frontend coding](https://benchize.com/benchmarks/designarena%3Acode.md) | 1,165elo | SE ±1.9 | 68 / 116 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=code) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1165 \| elo \| code \| Higher is better \| ### Configuration arenaType models category allcategories inputModality text sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics Uncertainty Standard error: ±1.9 averageGenerationTimeMs 105109 battles 39752 losses 19819 standardError 1.9014 winRate 50.1 wins 19933 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=code) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:37:57.301Z Evidence SHA-256 `0c897b58670f5e352bd123db999a40c0d1781a443964c502b90774a76a3a7758` Source locator `/data/102` | | | | | | | [τ-bench airline (legacy)](https://benchize.com/benchmarks/sierra%3Alegacy%3Aairline.md) | 56% | — | 10 / 14 | [sierra](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4-1_anthropic_2025-01-15/submission.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_1` \| 56 \| percent \| consistent_success_across_k_trials \| Higher is better \| ### Configuration benchmarkVersion original tau-bench harness tau-bench methodology {"evaluation_date":"2025-08-05","notes":"Scores were achieved with a prompt addendum to both the Airline and Retail Agent Policy instructing Claude to better leverage its reasoning abilities while using extended thinking with tool use. The model is encouraged to write down its thoughts as it solves the problem distinct from our usual thinking mode, during the multi-turn trajectories to best leverage its reasoning abilities. To accommodate the additional steps Claude incurs by utilizing more thinking, the maximum number of steps (counted by model completions) was increased from 30 to 100 (most trajectories completed under 30 steps with only one trajectory reaching above 50 steps).","tau2_bench_version":"original tau-bench","user_simulator":null,"verification":{"details":"Unverified submission - no trajectory data available, unknown evaluation methodology, telecom domain omitted, incomplete evaluation (Pass^1 only)","modified_prompts":null,"omitted_questions":null}} modality text Reasoning effort unknown retrieval Not reported sourceSubmission claude-opus-4-1_anthropic_2025-01-15 ### Source [Original source](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4-1_anthropic_2025-01-15/submission.json) Source sierra Original model label Claude Opus 4.1 Evaluated 2025-08-05 Observed 2026-10-21T16:55:00.761Z Evidence SHA-256 `062f711a16ad29f27ee1611ef097de8f76810d18725028d70ea9349af19d28ed` Source locator `/results/airline` | | | | | | | [DesignArena Website generation](https://benchize.com/benchmarks/designarena%3Awebsite.md) | 1,165elo | — | 78 / 123 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=website) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1165 \| elo \| website \| Higher is better \| ### Configuration arenaType models category website inputModality text sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics averageGenerationTimeMs 111521 battles 25799 losses 13044 standardError Not reported winRate 49.4 wins 12755 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=website) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:37:57.757Z Evidence SHA-256 `51873e97776a3c5ae706b24cc2c60384793dd18398df970e213a8e7c276d8ac0` Source locator `/data/115` | | | | | | | [τ-bench retail (legacy)](https://benchize.com/benchmarks/sierra%3Alegacy%3Aretail.md) | 82.4% | — | 3 / 14 | [sierra](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4-1_anthropic_2025-01-15/submission.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_1` \| 82.4 \| percent \| consistent_success_across_k_trials \| Higher is better \| ### Configuration benchmarkVersion original tau-bench harness tau-bench methodology {"evaluation_date":"2025-08-05","notes":"Scores were achieved with a prompt addendum to both the Airline and Retail Agent Policy instructing Claude to better leverage its reasoning abilities while using extended thinking with tool use. The model is encouraged to write down its thoughts as it solves the problem distinct from our usual thinking mode, during the multi-turn trajectories to best leverage its reasoning abilities. To accommodate the additional steps Claude incurs by utilizing more thinking, the maximum number of steps (counted by model completions) was increased from 30 to 100 (most trajectories completed under 30 steps with only one trajectory reaching above 50 steps).","tau2_bench_version":"original tau-bench","user_simulator":null,"verification":{"details":"Unverified submission - no trajectory data available, unknown evaluation methodology, telecom domain omitted, incomplete evaluation (Pass^1 only)","modified_prompts":null,"omitted_questions":null}} modality text Reasoning effort unknown retrieval Not reported sourceSubmission claude-opus-4-1_anthropic_2025-01-15 ### Source [Original source](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4-1_anthropic_2025-01-15/submission.json) Source sierra Original model label Claude Opus 4.1 Evaluated 2025-08-05 Observed 2026-10-21T16:55:00.761Z Evidence SHA-256 `062f711a16ad29f27ee1611ef097de8f76810d18725028d70ea9349af19d28ed` Source locator `/results/retail` | | | | | | | [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,597 | — | 30 / 191 | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1597 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_anthropic_claude_opus_4_1 ### Reported statistics coverageCount 27 draws 5 judged 68 losses 27 rank 38 ratingDeviation 28 wins 36 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label Claude Opus 4.1 Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/36` | | | | | | | [DesignArena Data visualization generation](https://benchize.com/benchmarks/designarena%3Adata-viz.md) | 1,160elo | — | 69 / 99 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=data-viz) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1160 \| elo \| data-viz \| Higher is better \| ### Configuration arenaType models category dataviz inputModality Not reported sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics averageGenerationTimeMs 85232 battles 1594 losses 831 standardError Not reported winRate 47.9 wins 763 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=data-viz) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:37:58.264Z Evidence SHA-256 `a895f6f1a25fa8eb01f821c2097ddec4f884de7bd22f1b8a22e82e6679b71849` Source locator `/data/99` | | | | | | | [Longform Creative Writing](https://benchize.com/benchmarks/eq-bench%3Alongform-writing.md) | 70.5% | — | 37 / 93 | [eq bench · longform-writing](https://eqbench.com/creative_writing_longform.js) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `overall_score_100` \| 70.5 \| percent \| overall \| Higher is better \| \| `chapter1_avg` \| 15.80 \| rubric_score \| overall \| Higher is better \| \| `chapter2_avg` \| 15.65 \| rubric_score \| overall \| Higher is better \| \| `chapter3_avg` \| 15.27 \| rubric_score \| overall \| Higher is better \| \| `chapter4_avg` \| 15.29 \| rubric_score \| overall \| Higher is better \| \| `chapter5_avg` \| 15.00 \| rubric_score \| overall \| Higher is better \| \| `chapter6_avg` \| 14.16 \| rubric_score \| overall \| Higher is better \| \| `chapter7_avg` \| 13.86 \| rubric_score \| overall \| Higher is better \| \| `chapter8_avg` \| 14.04 \| rubric_score \| overall \| Higher is better \| \| `final_judgement_avg` \| 12.99 \| rubric_score \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol longform-writing sourceModelVersion claude-opus-4.1 ### Source [Original source](https://eqbench.com/creative_writing_longform.js) Source eq bench Original model label claude-opus-4.1 Source version longform-writing Observed 2026-10-22T05:10:05.903Z Evidence SHA-256 `3ba283ce357ac7620e16db640a961879c30fe3ddc50a27de9a8ed4290784825c` Source locator `/leaderboardDataLongformV3/10` | | | | | | | [DesignArena UI component generation](https://benchize.com/benchmarks/designarena%3Aui-components.md) | 1,156elo | — | 68 / 112 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ui-components) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1156 \| elo \| ui-components \| Higher is better \| ### Configuration arenaType models category uicomponent inputModality Not reported sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics averageGenerationTimeMs 92429 battles 2218 losses 1138 standardError Not reported winRate 48.7 wins 1080 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ui-components) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:37:57.993Z Evidence SHA-256 `46482ec1b4012638eace65493daea4750e2088098018fd9d5fc46126fc1f8557` Source locator `/data/101` | | | | | | | [DesignArena ASCII art generation](https://benchize.com/benchmarks/designarena%3Aascii.md) | 1,167elo | — | 31 / 65 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ascii) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1167 \| elo \| ascii \| Higher is better \| ### Configuration arenaType models category ascii inputModality Not reported sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics averageGenerationTimeMs 44470 battles 458 losses 222 standardError Not reported winRate 51.5 wins 236 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ascii) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:38:03.513Z Evidence SHA-256 `0603b8c65b44ee887f5b566feb469465f59635137a6ac5c6d94c23bcf3776311` Source locator `/data/42` | | | | | | | [DesignArena SVG generation](https://benchize.com/benchmarks/designarena%3Asvgs.md) | 1,110elo | — | 53 / 77 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=svgs) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1110 \| elo \| svgs \| Higher is better \| ### Configuration arenaType models category svg inputModality Not reported sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics averageGenerationTimeMs 27481 battles 4945 losses 2468 standardError Not reported winRate 50.1 wins 2477 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=svgs) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:38:03.249Z Evidence SHA-256 `8cbc34a474a66ef5c64f3ffe557df9b55bf7e13368c07c0214223e3ed8f3f21e` Source locator `/data/84` | | | | | | | [DesignArena Browser game generation](https://benchize.com/benchmarks/designarena%3Agame-dev.md) | 1,163elo | — | 63 / 117 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=game-dev) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1163 \| elo \| game-dev \| Higher is better \| ### Configuration arenaType models category gamedev inputModality Not reported sourceModelVersion claude-opus-4-1-20250805 variationName public ### Reported statistics averageGenerationTimeMs 110539 battles 5416 losses 2637 standardError Not reported winRate 51.3 wins 2779 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=game-dev) Source designarena Original model label Claude Opus 4.1 Source version public Observed 2026-10-21T16:38:01.100Z Evidence SHA-256 `53db6a89112ce8cdf644568c666d4b8309aece764cfcedb291ffd52ae3934e30` Source locator `/data/95` | | | | | | --- Cite as: Claude Opus 4.1 — Benchize, https://benchize.com/models/claude-opus-4-1 (retrieved 2026-10-22)