# Claude Opus 4

> Source: Benchize (https://benchize.com) — https://benchize.com/models/claude-opus-4. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/claude-opus-4.

Anthropic

Canonical URL: https://benchize.com/models/claude-opus-4
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 | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://benchize.com/benchmarks/arc-prize%3Av2_Semi_Private.md) | 1.27% | — | 211 / 243 | 0.64usd per task | [arc prize · v2](https://arcprize.org/media/data/leaderboard/v2.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.0127 \| score_fraction \| v2_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.6388 \| usd_per_task \| v2_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v2_Semi_Private harness Not reported modelGroup Not reported modelType CoT sourceModelVersion claude-opus-4-20250514 ### Source [Original source](https://arcprize.org/media/data/leaderboard/v2.json) Source arc prize Original model label Claude Opus 4 Source version v2 Observed 2026-10-22T05:20:04.306Z Evidence SHA-256 `4351eb696e78113b0459e9bb5f0258318b905efef34f473dcea51ce641b0d94d` Source locator `/evaluations/43` |  |  |  |  |  |  |
| [HMMT Feb 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2025.md) | 60% | 95% CI 51.23–68.77% | 24 / 35 | 1.23usd per problem | [matharena · hmmt--hmmt_feb_2025](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 60.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 1.23 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2025 predicted false sourceModelName Claude-Opus-4.0 (Think) sourceModelVersion anthropic/claude-opus-4 ### Reported statistics Uncertainty 95% confidence interval: 51.23–68.77% confidenceInterval95 8.77 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) Source matharena Original model label Claude-Opus-4.0 (Think) Source version hmmt--hmmt_feb_2025 Observed 2026-10-22T05:30:12.126Z Evidence SHA-256 `8554225c26eb7a3c2649943ee7cf6b404ec1f7441b20fbdcfccbf35b9a864864` Source locator `/table/rows/38` |  |  |  |  |  |  |
| [τ-bench retail (legacy)](https://benchize.com/benchmarks/sierra%3Alegacy%3Aretail.md) | 81.4% | — | 5 / 14 | — | [sierra](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4_anthropic_2025-05-22/submission.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_1` \| 81.4 \| percent \| consistent_success_across_k_trials \| Higher is better \| ### Configuration benchmarkVersion original tau-bench harness tau-bench methodology {"evaluation_date":"2025-05-22","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_anthropic_2025-05-22 ### Source [Original source](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4_anthropic_2025-05-22/submission.json) Source sierra Original model label Claude Opus 4 Evaluated 2025-05-22 Observed 2026-10-21T16:55:00.505Z Evidence SHA-256 `e4e0813f7ce46327aad4065612edbdb04e0fb2cb1fbe05a77029be32573c8d61` Source locator `/results/retail` |  |  |  |  |  |  |
| [Fortress](https://benchize.com/benchmarks/scale%3Afortress.md) | 27.61source score | CI 24.39–30.83 | 16 / 31 | — | [scale](https://labs.scale.com/leaderboard/fortress) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 27.61 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Claude Opus 4 sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 24.39–30.83 contaminationWarning ORS score: 2.52 rank 43 reportedConfidenceHalfWidth 3.22 ### Source [Original source](https://labs.scale.com/leaderboard/fortress) Source scale Original model label Claude Opus 4 Observed 2026-10-22T03:30:12.378Z Evidence SHA-256 `2c005102a7346206e5d31d9249d525620bef39f6d514668ed48398e710616b0f` Source locator `/rows/42` |  |  |  |  |  |  |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,582 | — | 38 / 191 | — | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1582 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_anthropic_claude_opus_4 ### Reported statistics coverageCount 27 draws 4 judged 67 losses 28 rank 46 ratingDeviation 28 wins 35 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label Claude Opus 4 Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/44` |  |  |  |  |  |  |
| [DesignArena Data visualization generation](https://benchize.com/benchmarks/designarena%3Adata-viz.md) | 1,145elo | — | 74 / 99 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=data-viz) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1145 \| elo \| data-viz \| Higher is better \| ### Configuration arenaType models category dataviz inputModality Not reported sourceModelVersion claude-opus-4 variationName public ### Reported statistics averageGenerationTimeMs 81967 battles 266 losses 112 standardError Not reported winRate 57.9 wins 154 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=data-viz) Source designarena Original model label Claude Opus 4 Source version public Observed 2026-10-21T16:37:58.264Z Evidence SHA-256 `a895f6f1a25fa8eb01f821c2097ddec4f884de7bd22f1b8a22e82e6679b71849` Source locator `/data/107` |  |  |  |  |  |  |
| [DesignArena Overall frontend coding](https://benchize.com/benchmarks/designarena%3Acode.md) | 1,161elo | SE ±2.84 | 71 / 116 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=code) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1161 \| elo \| code \| Higher is better \| ### Configuration arenaType models category allcategories inputModality text sourceModelVersion claude-opus-4 variationName public ### Reported statistics Uncertainty Standard error: ±2.84 averageGenerationTimeMs 88501 battles 16668 losses 7403 standardError 2.8419 winRate 55.6 wins 9265 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=code) Source designarena Original model label Claude Opus 4 Source version public Observed 2026-10-21T16:37:57.301Z Evidence SHA-256 `0c897b58670f5e352bd123db999a40c0d1781a443964c502b90774a76a3a7758` Source locator `/data/106` |  |  |  |  |  |  |
| [EQ-Bench 3](https://benchize.com/benchmarks/eq-bench%3Aeqbench3.md) | 1,399.8elo | CI 1,373.2–1,426.4 | 23 / 50 | — | [eq bench · eqbench3](https://eqbench.com/eqbench3.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo_norm` \| 1399.8 \| elo \| overall \| Higher is better \| \| `rubric_0_100` \| 68.2 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol eqbench3 sourceModelVersion claude-opus-4 ### Reported statistics Uncertainty Confidence interval: 1,373.2–1,426.4 confidenceIntervalHigh 1426.4 confidenceIntervalLow 1373.2 ### Source [Original source](https://eqbench.com/eqbench3.js) Source eq bench Original model label claude-opus-4 Source version eqbench3 Observed 2026-10-22T05:10:04.922Z Evidence SHA-256 `3672ff093e739f07ff664a2e6013bc38a6977a146e4092b4cef80ba1780542b2` Source locator `/leaderboardDataEQBench3/30` |  |  |  |  |  |  |
| [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 variationName public ### Reported statistics averageGenerationTimeMs 90971 battles 12767 losses 5797 standardError Not reported winRate 54.6 wins 6970 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=website) Source designarena Original model label Claude Opus 4 Source version public Observed 2026-10-21T16:37:57.757Z Evidence SHA-256 `51873e97776a3c5ae706b24cc2c60384793dd18398df970e213a8e7c276d8ac0` Source locator `/data/114` |  |  |  |  |  |  |
| [DesignArena Browser game generation](https://benchize.com/benchmarks/designarena%3Agame-dev.md) | 1,170elo | — | 58 / 117 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=game-dev) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1170 \| elo \| game-dev \| Higher is better \| ### Configuration arenaType models category gamedev inputModality Not reported sourceModelVersion claude-opus-4 variationName public ### Reported statistics averageGenerationTimeMs 91259 battles 1654 losses 663 standardError Not reported winRate 59.9 wins 991 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=game-dev) Source designarena Original model label Claude Opus 4 Source version public Observed 2026-10-21T16:38:01.100Z Evidence SHA-256 `53db6a89112ce8cdf644568c666d4b8309aece764cfcedb291ffd52ae3934e30` Source locator `/data/90` |  |  |  |  |  |  |
| [MASK](https://benchize.com/benchmarks/scale%3Amask.md) | 80.28source score | CI 79.66–80.9 | 7 / 25 | — | [scale](https://labs.scale.com/leaderboard/mask) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 80.28 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Claude Opus 4 sourceModelVersion claude-opus-4-20250514 thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 79.66–80.9 contaminationWarning Potential contamination warning: This model was evaluated after the public release of MASK, allowing model builder access to the prompts and solutions. rank 24 reportedConfidenceHalfWidth 0.62 ### Source [Original source](https://labs.scale.com/leaderboard/mask) Source scale Original model label Claude Opus 4 Observed 2026-10-22T03:30:12.706Z Evidence SHA-256 `fe1699303dff9a092aff10128cfc39d63ddc0680c0d241345fa747c450597b67` Source locator `/rows/23` |  |  |  |  |  |  |
| [τ-bench airline (legacy)](https://benchize.com/benchmarks/sierra%3Alegacy%3Aairline.md) | 59.6% | — | 8 / 14 | — | [sierra](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4_anthropic_2025-05-22/submission.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_1` \| 59.6 \| percent \| consistent_success_across_k_trials \| Higher is better \| ### Configuration benchmarkVersion original tau-bench harness tau-bench methodology {"evaluation_date":"2025-05-22","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_anthropic_2025-05-22 ### Source [Original source](https://sierra-tau-bench-public.s3.us-west-2.amazonaws.com/submissions/claude-opus-4_anthropic_2025-05-22/submission.json) Source sierra Original model label Claude Opus 4 Evaluated 2025-05-22 Observed 2026-10-21T16:55:00.505Z Evidence SHA-256 `e4e0813f7ce46327aad4065612edbdb04e0fb2cb1fbe05a77029be32573c8d61` Source locator `/results/airline` |  |  |  |  |  |  |
| [Humanity’s Last Exam (HLE)](https://benchize.com/benchmarks/hle.md) | 6.68source score | CI 5.7–7.66 | 12 / 17 | — | [scale](https://labs.scale.com/leaderboard/humanitys_last_exam) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 6.68 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Claude Opus 4 sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 5.7–7.66 contaminationWarning Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. rank 44 reportedConfidenceHalfWidth 0.98 ### Source [Original source](https://labs.scale.com/leaderboard/humanitys_last_exam) Source scale Original model label Claude Opus 4 Observed 2026-10-22T03:30:08.991Z Evidence SHA-256 `2e7bc7983b3fe2fab5270a4dc00f51a40b87f5318a686fbae4291beda672f604` Source locator `/rows/43` |  |  |  |  |  |  |
| [DesignArena 3D design generation](https://benchize.com/benchmarks/designarena%3A3d-design.md) | 1,139elo | — | 55 / 110 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=3d-design) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1139 \| elo \| 3d-design \| Higher is better \| ### Configuration arenaType models category 3d inputModality Not reported sourceModelVersion claude-opus-4 variationName public ### Reported statistics averageGenerationTimeMs 66615 battles 1469 losses 622 standardError Not reported winRate 57.7 wins 847 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=3d-design) Source designarena Original model label Claude Opus 4 Source version public Observed 2026-10-21T16:37:58.515Z Evidence SHA-256 `bcc0267f7bc7e9ec112306b3a35413cf78bbccbfaa838356232d5d5ed0b83d0f` Source locator `/data/87` |  |  |  |  |  |  |
| [Humanity's Last Exam (Text Only)](https://benchize.com/benchmarks/scale%3Ahumanitys_last_exam_text_only.md) | 6.26source score | CI 5.24–7.28 | 20 / 25 | — | [scale](https://labs.scale.com/leaderboard/humanitys_last_exam_text_only) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 6.26 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Claude Opus 4 sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 5.24–7.28 contaminationWarning Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. Sampled at temperature 0.3. rank 52 reportedConfidenceHalfWidth 1.02 ### Source [Original source](https://labs.scale.com/leaderboard/humanitys_last_exam_text_only) Source scale Original model label Claude Opus 4 Observed 2026-10-22T03:30:09.372Z Evidence SHA-256 `16bd91dbd41a73afd31ff09fba3b9b08e9e3e2cfe682c50cc3b2bf8397610af6` Source locator `/rows/51` |  |  |  |  |  |  |
| [Creative Writing v3](https://benchize.com/benchmarks/eq-bench%3Acreative-writing-v3.md) | 1,579.7elo | — | 41 / 90 | — | [eq bench · creative-writing-v3](https://eqbench.com/creative_writing.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo_score` \| 1579.7 \| elo \| overall \| Higher is better \| \| `creative_writing_score` \| 16.05 \| rubric_score \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol creative-writing-v3 sourceModelVersion claude-opus-4 ### Source [Original source](https://eqbench.com/creative_writing.js) Source eq bench Original model label claude-opus-4 Source version creative-writing-v3 Observed 2026-10-22T05:10:05.433Z Evidence SHA-256 `722ddb132e8d3a5e5c39b8d445f8475f3f7e24893a007260c6f3e3cce5c1ee18` Source locator `/leaderboardDataCreativeWritingV3/50` |  |  |  |  |  |  |
| [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 70% | 95% CI 61.8–78.2% | 26 / 36 | 1.13usd per problem | [matharena · aime--aime_2025](https://matharena.ai/competition_tables/aime--aime_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 1.13 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2025 predicted false sourceModelName Claude-Opus-4.0 (Think) sourceModelVersion anthropic/claude-opus-4 ### Reported statistics Uncertainty 95% confidence interval: 61.8–78.2% confidenceInterval95 8.20 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2025) Source matharena Original model label Claude-Opus-4.0 (Think) Source version aime--aime_2025 Observed 2026-10-22T05:30:11.892Z Evidence SHA-256 `fab0abcecc4032852ef2cbd2a84d34ffc42202be358b2994bfaba44ae7a0cd9a` Source locator `/table/rows/42` |  |  |  |  |  |  |
| [VISTA](https://benchize.com/benchmarks/scale%3Avisual_language_understanding.md) | 43.53source score | CI 42.29–44.77 | 7 / 16 | — | [scale](https://labs.scale.com/leaderboard/visual_language_understanding) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 43.53 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Claude Opus 4 sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 42.29–44.77 contaminationWarning Not reported rank 35 reportedConfidenceHalfWidth 1.24 ### Source [Original source](https://labs.scale.com/leaderboard/visual_language_understanding) Source scale Original model label Claude Opus 4 Observed 2026-10-22T03:30:13.295Z Evidence SHA-256 `d373f192d42603b3d2b7b0b509c801be37a4fd65b7c73742f980d9f2f0a4e668` Source locator `/rows/34` |  |  |  |  |  |  |
| [ARC-AGI-1](https://benchize.com/benchmarks/arc-prize%3Av1_Semi_Private.md) | 22.5% | — | 208 / 245 | 0.4usd per task | [arc prize · v1](https://arcprize.org/media/data/leaderboard/v1.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.225 \| score_fraction \| v1_Semi_Private \| Higher is better \| \| `cost_per_task` \| 0.4036 \| usd_per_task \| v1_Semi_Private \| Lower is better \| ### Configuration evaluationSplit v1_Semi_Private harness Not reported modelGroup Not reported modelType CoT sourceModelVersion claude-opus-4-20250514 ### Source [Original source](https://arcprize.org/media/data/leaderboard/v1.json) Source arc prize Original model label Claude Opus 4 Source version v1 Observed 2026-10-22T05:20:04.066Z Evidence SHA-256 `2bf68d22dafba37047d07ad833ebc0e8199c9aa2f9eeaed50c75c1b704462836` Source locator `/evaluations/41` |  |  |  |  |  |  |
| [DesignArena UI component generation](https://benchize.com/benchmarks/designarena%3Aui-components.md) | 1,153elo | — | 70 / 112 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ui-components) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1153 \| elo \| ui-components \| Higher is better \| ### Configuration arenaType models category uicomponent inputModality Not reported sourceModelVersion claude-opus-4 variationName public ### Reported statistics averageGenerationTimeMs 83659 battles 512 losses 209 standardError Not reported winRate 59.2 wins 303 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ui-components) Source designarena Original model label Claude Opus 4 Source version public Observed 2026-10-21T16:37:57.993Z Evidence SHA-256 `46482ec1b4012638eace65493daea4750e2088098018fd9d5fc46126fc1f8557` Source locator `/data/103` |  |  |  |  |  |  |
| [NC Bench](https://benchize.com/benchmarks/nc-bench%3Aoverall.md) | 87.22% | — | 83 / 144 | — | [nc bench](https://www.nc-bench.com/models) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 87.22 \| percent \| reported \| Higher is better \| \| `tooling` \| 100 \| percent \| category \| Higher is better \| \| `creative_writing` \| 83.79 \| percent \| category \| Higher is better \| \| `language` \| 93.01 \| percent \| category \| Higher is better \| \| `utility` \| 88.81 \| percent \| category \| Higher is better \| \| `reasoning` \| 76.72 \| percent \| category \| Higher is better \| \| `text_editing` \| 97.25 \| percent \| category \| Higher is better \| \| `rule_following` \| 70.37 \| percent \| category \| Higher is better \| \| `hallucination` \| 87.84 \| percent \| category \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Claude Opus 4 thinkingEnabled Not reported ### Source [Original source](https://www.nc-bench.com/models) Source nc bench Original model label Claude Opus 4 Observed 2026-10-22T06:10:03.426Z Evidence SHA-256 `ec261022458543624b08a136d01f5a2f0666cd52ffb49c64d6ca983e8543d1b5` Source locator `/rows/107` |  |  |  |  |  |  |
| [BRUMO 2025](https://benchize.com/benchmarks/matharena%3Abrumo--brumo_2025.md) | 81.67% | 95% CI 74.75–88.59% | 21 / 26 | 0.98usd per problem | [matharena · brumo--brumo_2025](https://matharena.ai/competition_tables/brumo--brumo_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 81.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.98 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition brumo--brumo_2025 predicted false sourceModelName Claude-Opus-4.0 (Think) sourceModelVersion anthropic/claude-opus-4 ### Reported statistics Uncertainty 95% confidence interval: 74.75–88.59% confidenceInterval95 6.92 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/brumo--brumo_2025) Source matharena Original model label Claude-Opus-4.0 (Think) Source version brumo--brumo_2025 Observed 2026-10-22T05:30:12.351Z Evidence SHA-256 `d1d1c126b1feff70b2bcc20a7adbf380d94c2aaab0704704cb01593d4e1958ff` Source locator `/table/rows/35` |  |  |  |  |  |  |
| [DesignArena SVG generation](https://benchize.com/benchmarks/designarena%3Asvgs.md) | 1,127elo | — | 50 / 77 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=svgs) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1127 \| elo \| svgs \| Higher is better \| ### Configuration arenaType models category svg inputModality Not reported sourceModelVersion claude-opus-4 variationName public ### Reported statistics averageGenerationTimeMs 22205 battles 1732 losses 732 standardError Not reported winRate 57.7 wins 1000 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=svgs) Source designarena Original model label Claude Opus 4 Source version public Observed 2026-10-21T16:38:03.249Z Evidence SHA-256 `8cbc34a474a66ef5c64f3ffe557df9b55bf7e13368c07c0214223e3ed8f3f21e` Source locator `/data/80` |  |  |  |  |  |  |

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