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Claude Opus 4.7

Score basis

Claude Opus 4.7 is capable in coding, multimodal tasks, reasoning, factuality, long context, and agentic tasks; and behind the leaders in math and instruction following. Too few results yet to rate safety or multilingual tasks.

Capability profile

Bars show the model's median result as a share of the leading model's, per capability. Select a row to see its results.

Capable6 capabilities
  1. Coding−11.0%9 of 10
  2. Multimodal−11.6%3 of 6
  3. Reasoning−13.4%6 of 6
  4. Factuality−14.6%4 of 4
  5. Long Context−15.5%2 of 3
  6. Agentic−20.0%6 of 7
Limited2 capabilities
  1. Math−30.5%3 of 5
  2. Instruction Following−35.2%2 of 3
Not rated2 capabilities

Too few results yet to rate Safety or Multilingual.

Price

$5.00input$25.00outputper million tokens

From Anthropic's own price page · 4 providers tracked · All prices

Costs more than 93% of 330 priced models · 3:1 input-to-output blend, log scale

Evidence

168results on106benchmarks

  • 39 independently verified
  • 35 aggregator
  • 51 vendor-reported
  • 43 cross-referenced

From 33 sources · latest Oct 8, 2026 · How verification works

API features

Tool callingStructured outputsReasoning

As listed by OpenRouter

Claude Opus 4.7 benchmark results

168 results on 106 benchmarks, grouped by capability. Each bar is the result as a share of the capability leader's; every result links to its source.

Coding

CapableFull coding ranking

11.0% behind the leader9 of 10 ranked benchmarks measured

Show 8 more coding resultsHide 8 coding results

Multimodal

CapableFull multimodal ranking

11.6% behind the leader3 of 6 ranked benchmarks measured

Show 10 more multimodal resultsHide 10 multimodal results

Reasoning

CapableFull reasoning ranking

13.4% behind the leader6 of 6 ranked benchmarks measured

Show 13 more reasoning resultsHide 13 reasoning results

Factuality

CapableFull factuality ranking

14.6% behind the leader4 of 4 ranked benchmarks measured

Show 2 more factuality resultsHide 2 factuality results

Long Context

CapableFull long context ranking

15.5% behind the leader2 of 3 ranked benchmarks measured

Show 1 more long context resultHide 1 long context result

Agentic

CapableFull agentic ranking

20.0% behind the leader6 of 7 ranked benchmarks measured

Show 11 more agentic resultsHide 11 agentic results

30.5% behind the leader3 of 5 ranked benchmarks measured

Show 5 more math resultsHide 5 math results

Instruction Following

LimitedFull instruction following ranking

35.2% behind the leader2 of 3 ranked benchmarks measured

Show 1 more instruction following resultHide 1 instruction following result

More results

Benchmarks outside the capability baskets. They are not ranked against a leader.

Show 77 more resultsHide 77 results

Claude Opus 4.7: common questions

Who makes Claude Opus 4.7?

Claude Opus 4.7 is made by Anthropic.

When was Claude Opus 4.7 released?

Claude Opus 4.7 was released on Apr 16, 2026, according to Artificial Analysis.

What is Claude Opus 4.7 good at?

Claude Opus 4.7 is capable in coding, multimodal tasks, reasoning, factuality, long context, and agentic tasks; and behind the leaders in math and instruction following. Too few results yet to rate safety or multilingual tasks.

How much does Claude Opus 4.7 cost?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens, according to Anthropic's own price page. We track its price at 4 providers. At a mix of three input tokens to one output token, it costs more than 93% of the 330 priced models we track.

How many benchmarks has Claude Opus 4.7 been tested on?

We track 168 results for Claude Opus 4.7 on 106 benchmarks from 33 sources, 39 of them independently verified. The latest was recorded on Oct 8, 2026.

Which API features does Claude Opus 4.7 support?

OpenRouter lists tool calling, structured outputs, and reasoning for Claude Opus 4.7.

About this record

Where Claude Opus 4.7's numbers come from, and every name it appears under.

Tracked since
Apr 25, 2026
Newest source mention
Sep 28, 2026

Where the results come from

Verification: 168 scores · 39 independently verified · 35 aggregator-attributed · 43 vendor cross-reference · 51 vendor-reported. How these tiers are assigned

From 33 sources on 17 sites. Artificial Analysis supplies 37 of them; the 39 independently verified results come from 10 sites. Bars are coloured by trust tier.

  • artificialanalysis.ai37
  • lf3-static.bytednsdoc.com29
  • api.llm-stats.com15
  • cdn.sanity.io15
  • www-cdn.anthropic.com15
  • deepmind.google12
  • arcprize.org8
  • livebench.ai7
  • anthropic.com6
  • datasets-server.huggingface.co5
  • epoch.ai4
  • matharena.ai4
  • raw.githubusercontent.com4
  • huggingface.co2
  • labs.scale.com2
  • lmarena.ai2
  • simple-bench.com1

Also known as

How our sources name Claude Opus 4.7 at each reasoning setting.

SettingShort formLong formAPI id
lowclaude 4.7 (low)——
mediumclaude 4.7 (medium)——
highOpus 4.7 (High) claude 4.7 (high) claude opus 4.7 (non-reasoning, high)claude opus 4.7 (non-reasoning, high effort)claude-opus-4-7-high claude-opus-4.7 (high)
xhighclaude opus 4.7 (xhigh)——
maxclaude 4.7 (max) claude opus 4.7 (max)claude opus 4.7 (adaptive reasoning, max effort)claude-opus-4-7 (max)
Also listed asclaude 4.7claude-opus-4-7claude codeclaude-opus-4-7 (reasoning)claude-opus-4-7 (non-reasoning)claude-opus-4-7-thinkingclaude-opus-4-7-non-reasoningopus-4-7opus 4.7claude-opus-4.7:batchclaude 4.7 opus