[whatmodel.sh](../../README.md) / Claude Opus 4.7
# Claude Opus 4.7
Anthropic · released 2026-04 · closed weights
**score 73.6** ±0.5 · #42 of 732 · from 42 benchmark results across 15 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Claude Opus 4.7 among every model on that task or test, worst to best.
task vs the others rank counts tests
agent tasks ▁▁▃▆█▄▅▅▄●▂▁ #39 of 313 13% 7
coding ▁▁▁▃▅▇█▇▅▄●▁ #40 of 469 11% 3
chat & writing ▁▁▁▃▆▄▆█▆▇▇● #8 of 402* 3.2% 2
math ▁▁▃▅█▆▄█●▂▁▁ #41 of 431 46% 14
vision & documents ▁▁▂▂▁▃▄▂▆▇█● #4 of 153 4.6% 3
web search ▁▁▁▅▄●▃▄·▁·▁ #35 of 84* 1.9% 2
agent tasks · #39 of 313 · 13% of its score
Beats [GPT-5.6 Luna](gpt-5-6-luna.md), [Gemini 3.7 Flash](gemini-3-7-flash.md), [DeepSeek V4 Pro (0813)](deepseek-v4-pro.md) here, though they rank higher overall. Trails [Grok 4.7](grok-4-7.md), [Claude Sonnet 5](claude-sonnet-5.md), [Grok 4.5](grok-4-5.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
SWE-bench Verified 83.5% ▁··▁·▁▂▁▄█▄● beats 29/29 hard · avg 19% 4.5% sharp
Agents' Last Exam overall full-pa… 15.1% ▄···█▄▄▄█●·█ beats 8/10 very hard · avg 1.9% 2.2% typical
τ³-bench banking_knowledge (v1.0.… 40.2% ▃▃▂▃·▆▃▂█●▅▂ beats 19/25 very hard · avg 4.3% 1.9% at its level
Toolathlon (Tool Decathlon) (make… 59.3% █···█··█·●██ beats 3/5 hard · avg 16% 1.5% at its level
SWE Atlas (Codebase Q&A, Test Wri… 38.9% ▄·▄··█···▄·● beats 6/6 very hard · avg 6.6% 1.3% at its level
RWSearch 79.3% ███●··█····█ beats 3/5 medium · avg 45% 0.9% typical
TerminalWorld-Verified (200 tasks… 62.5% ▄··▄·▄·█···● beats 5/5 hard · avg 28% 0.6% blunt · at its level
coding · #40 of 469 · 11% of its score
Beats [GPT-5.5](gpt-5-5.md), [GPT-5.6 Terra](gpt-5-6-terra.md), [GPT-5.4](gpt-5-4.md) here, though they rank higher overall. Trails [Qwen3.8 27B](qwen3-8-27b.md), [GLM-5.2](glm-5-2.md), [GLM-5.3-Flash](glm-5-3-flash.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena WebDev (Code Arena) 1557.5 ▁▁▃▂▅█▃●▅▅▁▂ beats 90/129 avg 981 5.0% sharp
SWE-bench Verified 83.5% ▁··▁·▁▂▁▄█▄● beats 29/29 hard · avg 19% 4.5% sharp
SWE Atlas (Codebase Q&A, Test Wri… 38.9% ▄·▄··█···▄·● beats 6/6 very hard · avg 6.6% 1.3% at its level
chat & writing · #8 of 402 · 3.2% of its score
Beats [GPT-6 Astra](gpt-6-astra.md), [GPT-6.1 Sol](gpt-6-1-sol.md), [Claude Sonnet 5.5](claude-sonnet-5-5.md) here, though they rank higher overall. Trails [Claude Opus 4.6](claude-opus-4-6.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
LMArena (text) 1501.0 ▁▁▁▂▃▃▃▆▆▇█● beats 378/385 avg 1260 2.8% blunt
IFEval (aggregation unspecified) 88.7% █·●█·█···█·█ beats 1/5 easy · avg 72% 0.4% maxed out
math · #41 of 431 · 46% of its score
Trails [GPT-5.2](gpt-5-2.md), [Qwen3.7 Max](qwen3-7-max.md), [Muse Spark 1.1](muse-spark-1-1.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
FrontierMath tiers 1–3 v2 70.2% ▂··▁▁▃▄▄█●▄▃ beats 60/86 very hard · avg 1.2% 13% sharp · at its level
FrontierMath tier 4 v2 31.7% ▁▂▁▂█●▂▃▂▁▁▁ beats 38/67 very hard · avg 0.1% 11% sharp · at its level
MathArena ArXivMath April 2026 (4… 57.5% ▁·····▅█●▄·▁ beats 12/20 very hard · avg 7.6% 5.8% sharp · at its level
MathArena ArXivMath February 2026… 40.6% ▁▁▁▁█●▄▃▁▃·▃ beats 12/24 very hard · avg 9.4% 3.3% at its level
MathArena ArXivMath March 2026 (3… 50.8% █▃●·█▃▃·▅·▃▃ beats 4/14 hard · avg 16% 2.6% at its level
MathArena ArXivMath January 2026 … 52.2% ▂··▄▂▄●▆▆▄▄█ beats 6/23 hard · avg 23% 2.1% at its level
MathArena BrokenArXiv April 2026 … 4.1% ●▂▆█▃▃▂▂▂··▂ beats 0/18 very hard · avg 0.8% 2.0% sharp · at its level · noisy
MathArena BrokenArXiv March 2026 … 5.8% ●·▆█▂·▂▂···▂ beats 0/14 very hard · avg 1.0% 1.2% sharp · noisy
MathArena BrokenArXiv February 20… 4.0% ▃●▂▃█▃▂·▃··▂ beats 2/16 very hard · avg 0.9% 1.1% sharp · noisy
IMO-AnswerBench 81.8% ▁▁·▁▁▁▄▆●▄▂▃ beats 27/44 hard · avg 25% 1.0% typical
MathArena ArXivLean March 2026 (4… 14.6% ▂····▂·····● beats 3/5 very hard · avg 1.2% 0.9% typical
USAMO 2026 (maker) 69.3% █·●█······██ beats 1/4 hard · avg 19% 0.7% sharp · noisy
MathConstraint full release, no t… 42.6% ▄··▄▄·▄▄●▄·▄ beats 5/8 very hard · avg 11% 0.7% at its level
OTIS mock AIME 2024–2025 86.7% ▃▃▄▃▃▃▇▇●▃▂▅ beats 132/197 very hard · avg 7.2% 0.4% sharp · maxed out · noisy
vision & documents · #4 of 153 · 4.6% of its score
Beats [GPT-6 Astra](gpt-6-astra.md), [Claude Opus 5.5](claude-opus-5-5.md), [GPT-6.1 Sol](gpt-6-1-sol.md) here, though they rank higher overall.
test result vs the others in its run difficulty counts why
Arena vision (style controlled) 1297.7 ▁▁▂▂▂▂▃▄▅▅█● beats 149/152 avg 1061 1.9% blunt
CharXiv (reasoning questions) (ma… 81.3% ███··█·█●··█ beats 5/6 hard · avg 28% 1.8% typical
Arena document (style controlled) 1493.0 ▁▁▃▃▄▃▇█▅▇▄● beats 35/37 avg 1331 1.0% blunt
web search · #35 of 84 · 1.9% of its score
Beats [Gemini 3.1 Pro (Preview)](gemini-3-1-pro.md) here, though they rank higher overall. Trails [GPT-4o mini (2024-07-18)](gpt-4o-mini-2024-07-18.md), [Mistral Small 3.1 24B (2503)](mistral-small-3-1.md), [Llama 4 Scout (109B-A17B)](llama-4-scout.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena search systems (style contr… 1209.7 ▁·▁▁▂▂▂█●▃▂▂ beats 27/36 avg 1069 1.0% blunt
RWSearch 79.3% ███●··█····█ beats 3/5 medium · avg 45% 0.9% typical
other tests (14)
test result vs the others in its run difficulty counts why
EBR-bench (Epoch) 19.0% ▄▂·▆█●█▆▄▆·▆ beats 10/25 very hard · avg 0.3% 4.7% sharp
Furniture Assembly (Epoch) 33.3% █▆●▆▆▂▆▂▂▂▂▅ beats 10/32 very hard · avg 1.2% 4.5% sharp · at its level
Mystery Game Puzzles (Epoch) 28.0% █··▂▃▇●█▂▄▂▁ beats 45/77 very hard · avg 9.4% 4.0% sharp · noisy
Chess Puzzles (Epoch) 7.0% █▁●▁▁▂▃▃▃▂▁▁ beats 52/137 very hard · avg 5.8% 2.5% sharp · at its level · noisy
GPQA Diamond 86.4% ▁▁▁▁▂▄▆▄▅▇●▅ beats 153/211 hard · avg 39% 2.0% sharp
EQ-Bench 3 (emotional intelligenc… 1460.9 ▁·▂▁▄▅▅▃█▄▁● beats 62/62 avg 1034 1.7% typical
The Token Games Elo (10-model puz… 1100.0 █··▄█··●·▄·▄ beats 5/7 avg 822 1.5% typical
WildClawBench 62.2% ▃·▅▅█·▅█▅▃▃● beats 17/17 very hard · avg 11% 1.5% at its level
LongSocialBench (full-context, 4-… 56.0% ▆▂·▄█·▂▂·▄▄● beats 16/16 very hard · avg 36% 1.2% blunt · at its level
SimpleQA Verified 51.7% ▁▁▃▂▃▃▆▆●▄▂▅ beats 57/81 very hard · avg 8.0% 1.1% at its level
FORTE (AGI-Eval) 77.6% ▄···█·····▄● beats 4/5 medium · avg 38% 1.0% at its level
WritingBench 85.3% ▁·▁▂▁··▅●▂▂▁ beats 15/20 medium · avg 54% 1.0% typical
MirrorCode (Epoch) 31.1% ▄·█▄▄▄●█·▄▄█ beats 6/13 very hard · avg 1.6% 0.7% sharp · at its level · noisy
Vectara hallucination leaderboard… 88.0% ▁▂▁▂●█▂▃▄▃▁▁ beats 24/98 very easy · avg 90% 0.0% blunt
source results share of the score
Epoch AI 11 48% ▇▇▇▇▇▇
MathArena ArXivMath / BrokenArXiv / ArX… 8 19% ▇▇
LMArena leaderboard dataset 5 12% ▇
meituan-longcat/LongCat-2.0 model card 5 4% ▇
Anthropic system cards and model announ… 3 4% ▇
Agents' Last Exam 1 2% ▇
τ²/τ³-bench leaderboard: Sierra's own e… 1 2% ▇
EQ-Bench 3 canonical leaderboard results 1 2% ▇
The Token Games: Evaluating Language Mo… 1 1% ▇
WildClawBench: A Benchmark for Real-Wor… 1 1% ▇
SWE Atlas: Benchmarking Coding Agents B… 1 1% ▇
LongSocialBench: Do Long-Context LLMs U… 1 1% ▇
MathConstraint: Automated Generation of… 1 1% ▇
TerminalWorld: Benchmarking Agents on R… 1 1% ▇
Vectara hallucination leaderboard 1 0% ▇
prior: pull toward the middle 0% ▇
weighted average = 73.6
Licences: Epoch AI ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets ([CC BY-SA 4.0](../../licenses/matharena-sharealike-NOTICE.txt)) · LMArena leaderboard dataset ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · meituan-longcat/LongCat-2.0 model card ([mit](../../licenses/meituan-longcat--LongCat-2.0.txt)) · Agents' Last Exam ([CC BY 4.0](../../licenses/paper-2606.05405v2-CC-BY-4.0.txt)) · τ²/τ³-bench leaderboard: Sierra's own evaluation runs ([MIT](https://opensource.org/license/mit)) · EQ-Bench 3 canonical leaderboard results ([MIT](../../licenses/eqbench3-MIT.txt)) · The Token Games: Evaluating Language Model Reasoning with Puzzle Duels ([CC BY-SA 4.0](../../licenses/paper-2602.17831v2-CC-BY-SA-4.0.txt)) · WildClawBench: A Benchmark for Real-World ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · LongSocialBench: Do Long-Context LLMs Understand Online Discussion Threads? ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs ([CC BY 4.0](../../licenses/paper-2605.08498v1-CC-BY-4.0.txt)) · TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks ([CC BY 4.0](../../licenses/paper-2605.22535v1-CC-BY-4.0.txt)) · Vectara hallucination leaderboard ([Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0))
## How to run it
### Through an API
api (Anthropic) · $10.00/M blended · $5 in / $25 out per 1M tokens · [docs.anthropic.com](https://docs.anthropic.com/en/docs/about-claude/models)
[price source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/providers/anthropic/models/claude-opus-4-7.toml): Standard base token rate from models.dev. Provider-specific tiers, long-context surcharges, caching and promotions may differ. · [context source](https://github.com/anomalyco/models.dev/blob/a668908cfe7073faa0363699486fc41a3ff52412/models/anthropic/claude-opus-4-7.toml)
[interactive version](https://whatmodel.sh/model/claude-opus-4-7) · [JSON](https://whatmodel.sh/api?format=json&all=1)