Models / Anthropic/ Claude Opus 5.5

Claude Opus 5.5

Anthropic · released Sep 22, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$4.00
Output
$20.00
Cached
$0.20

List price · per 1M tokens · Anthropic at 1M context · machine-readable source ↗

Our take

Written Oct 1, 2026

Claude Opus 5.5 is a hosted-only model that leads the Arena boards for general chat and creative writing, and ranks near the top on mathematics. Those Arena placings are human preference votes rather than correctness, and constrained instruction following is its weakest measured category.

Who should pick it

Reach for it on work where people judge the answer — drafting, rewriting, open-ended chat — and on competition-style mathematics, where it ranks first of 58 on LiveBench Mathematics via Max effort as of 25 Jun 2026. It takes images and files alongside text, so a screenshot or a document does not have to be described in words first. Skip it if you need to run the model on your own hardware, or if constrained instruction following is the job.

The case for it

  • First of 168 on Arena Text (overall) via High as of 25 Sep 2026 and first of 168 on Arena Creative Writing via High as of 25 Sep 2026 — both record which answer people preferred, not whether it was correct.
  • First of 58 on LiveBench Mathematics via Max effort as of 25 Jun 2026, covering competition and olympiad maths.
  • Third of 168 on Arena Coding via High as of 25 Sep 2026 and second of 58 on LiveBench Coding via Max effort as of 25 Jun 2026, so coding is measured well on both boards.
  • Second of 58 on LiveBench Agentic Coding via Max effort as of 25 Jun 2026, a result for the model inside an agent harness rather than standalone.

The case against it

  • Thirty-third of 58 on LiveBench Instruction Following via xHigh effort as of 25 Jun 2026, covering constrained-rewriting tasks — far below its placings on the other LiveBench boards.
  • We list no download for it, so using it means choosing a host and paying per token.
  • The Arena placings are preference votes: they say nothing about factual accuracy or fitness for a specific task.
00

How good is it?

A closed text model from Anthropic for everyday questions, drafting and coding, with no weak spots flagged on the board.

Good at
  • getting answers to everyday questionsArena Text (overall) · 1st of 168
  • drafts, rewrites and editingArena Creative Writing · 1st of 168
  • writing and completing codeArena Coding · 3rd of 168

EverydayGeneral questions and everyday reasoning

5 of 5

Arena Text (overall)1st of 168 · 1509

Arena Hard Prompts 1st of 168LiveBench Mathematics 1st of 58LiveBench Reasoning 2nd of 58LiveBench Data Analysis 5th of 58

CodingWriting and fixing code on its own

5 of 5

Arena Coding3rd of 168 · 1547

Arena Code (WebDev) 1st of 95LiveBench Coding 2nd of 58

AgenticPlanning, calling tools, staying on task

Scored, not ratedLiveBench Agentic Coding · 2nd of 58 · 71.72

Not yet scored on Arena Agent. It is on LiveBench Agentic Coding, in 2nd of 58 with 71.72.

WritingDrafting and rewriting prose

5 of 5

Arena Creative Writing1st of 168 · 1521

LiveBench Language 8th of 58
Other boards it appears on
Arena Instruction Following 1st of 168LiveBench 2nd of 58LiveBench Instruction Following 33rd of 58

Boards this model appears on that none of the ratings above are built on.

Every published score for this model14 scoresEvery figure we hold, from 14 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
83.22source ↗
71.72source ↗
89.25source ↗
80.31source ↗
67.05source ↗
86.27source ↗
97.08source ↗
92.15source ↗
1547source ↗
1521source ↗
1541source ↗
1516source ↗
1509source ↗
1827source ↗
01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

Anthropic, direct

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Anthropic on 1M of context.

per 1M tokens
$4.00 in / $20.00 out
Context served
1M
Throughput
~70 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$4.00 / $20.00checked 4 hours ago1Mnot measuredUnknownUnknownUnknown
DeepInfraDirect$4.00 / $20.00checked 4 hours ago1Mnot measuredUnknownUnknownUnknown
Microsoft Azure AIglobalThrough OpenRouter$4.00 / $20.00checked 4 hours ago1M128K max reply66 tok/sNoNoUnknown
Google Vertex AIglobalThrough OpenRouter$4.00 / $20.00checked 4 hours ago1M128K max reply77 tok/sNoNoConfirmed
AnthropicDirect$4.00 / $20.00checked 4 hours ago1M128K max reply70 tok/sNoYes30 daysUnknown
Amazon BedrockThrough OpenRouter$4.00 / $20.00checked 4 hours ago1M128K max reply54 tok/sNoNoConfirmed
Claude Platform on AWSThrough OpenRouter$4.00 / $20.00checked 4 hours ago1M128K max reply61 tok/sNoYes30 daysUnknown
Amazon Bedrockeu-west-1Through OpenRouter$4.40 / $22.00checked 4 hours ago1M128K max reply72 tok/sNoNoConfirmed
Microsoft Azure AIusThrough OpenRouter$4.40 / $22.00checked 4 hours ago1M128K max reply8 tok/sNoNoUnknown
Amazon Bedrockus-east-1Through OpenRouter$4.40 / $22.00checked 4 hours ago1M128K max reply49 tok/sNoNoConfirmed
Google Vertex AIusThrough OpenRouter$4.40 / $22.00checked 4 hours ago1M128K max reply81 tok/sNoNoConfirmed
Google Vertex AIeuropeThrough OpenRouter$4.40 / $22.00checked 4 hours ago1M128K max reply82 tok/sNoNoConfirmed
Anthropicfast tierThrough OpenRouter$8.00 / $40.00checked 4 hours ago1M128K max reply100 tok/sNoYes30 daysUnknown

Across the 13 listings we hold: 11 say they do not train on prompts, 0 say they do and 2 do not say. 6 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✓✓
DeepInfraDirect
Microsoft Azure AIglobalThrough OpenRouter✓✓✓
Google Vertex AIglobalThrough OpenRouter✓✓✓
AnthropicDirect✓✓✓
Amazon BedrockThrough OpenRouter✓✓✗
Claude Platform on AWSThrough OpenRouter✓✓✓
Amazon Bedrockeu-west-1Through OpenRouter✓✓✗
Microsoft Azure AIusThrough OpenRouter✓✓✓
Amazon Bedrockus-east-1Through OpenRouter✓✓✗
Google Vertex AIusThrough OpenRouter✓✓✓
Google Vertex AIeuropeThrough OpenRouter✓✓✓
AnthropicfastThrough OpenRouter✓✓✓

Tool calling: 12 of 13 listings say yes, 1 publishes no parameter list. JSON output: 12 of 13 listings say yes, 1 publishes no parameter list. Strict schema: 9 of 13 listings say yes, 3 say no, 1 publishes no parameter list.

02

Models people weigh against Claude Opus 5.5

03

When we formed this view

Recent changes

Sep 25, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Sep 25, 2026BenchmarkScored 1547 via High on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1521 via High on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1541 via High on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1516 via High on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1509 via High on Arena Text (overall)
What movedleaderboard
Sep 25, 2026BenchmarkScored 1827 via Max on Arena Code (WebDev)
What movedleaderboard
Sep 22, 2026ReleaseClaude Opus 5.5 listed
Sep 22, 2026AnnouncedClaude Opus 5.5 announced by Anthropic
Jun 25, 2026BenchmarkScored 83.22 via Max effort on LiveBench
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • 1 of 13 listings publishes no parameter list, so what its API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 2 of 13 listings do not say whether they train on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
anthropic-claude-opus-5-5

Machine-readable model card (omc.json) →

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