Models / Anthropic/ Claude Opus 4.7

Claude Opus 4.7

Anthropic · released Apr 16, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Proprietary
Input
$5.00
Output
$25.00
Cached
$0.50

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

Our take

Written Aug 2, 2026

Claude Opus 4.7 is Anthropic's flagship hosted-only model that can handle up to one million tokens in a single request. It leads on coding and web development leaderboards but costs noticeably more than most alternatives and trails on creative writing.

Who should pick it

Choose this for long-document analysis or coding where its one-million-token limit matters, or for web development where it tops the leaderboard. Use it for multi-cloud deployment across five providers, or if low latency on Amazon Bedrock is worth the premium tier. Skip it if creative writing or mathematics is paramount, or if your budget cannot absorb a flagship price point.

The case for it

  • Highest measured score on Arena Code (WebDev) at 1560.3 Elo, with strong Arena Coding at 1552.6.
  • One-million-token request limit among the longest available.
  • Five providers at the same base rate, giving deployment flexibility.
  • Strong instruction-following at 1503.8 Elo.

The case against it

  • Creative writing is a clear weak spot at 1488.0 Elo — 72.3 points below its web development score.
  • Throughput varies dramatically: the slowest tracked option is many times slower than the fastest.
  • The premium tier adds cost for marginal gains on most providers.
00

How good is it?

IntelligencePuzzles, maths, exam questions

4.5 of 5

Arena Text (overall)3rd of 143 · 1492.4

Arena Hard Prompts 4th of 143Arena Maths 8th of 139LiveBench Data Analysis 7th of 35 via xHigh effortLiveBench Mathematics 10th of 35 via xHigh effortLiveBench Reasoning 12th of 35 via xHigh effort

Also on this board: 1501.5 via Thinking (Aug 2, 2026). Read the pair, not the higher one.

CodingWriting and fixing code on its own

5 of 5

Arena Coding3rd of 143 · 1547

Arena Code (WebDev) 7th of 74LiveBench Coding 6th of 35 via xHigh effort

Also on this board: 1552.2 via Thinking (Aug 2, 2026). Read the pair, not the higher one.

AgenticPlanning, calling tools, staying on task

3.5 of 5

Arena Agent (IPS)6th of 36 · 0.074

LiveBench Agentic Coding 12th of 35 via xHigh effort

Also on this board: 0.082 via Thinking (Jul 28, 2026). Read the pair, not the higher one.

WritingWe do not rate this

Scored, not ratedThe placings are on the right.

Two boards come close and neither tests writing: Arena Creative Writing asks people which of two replies they prefer, and LiveBench Language tests whether a model understood a passage. So we show where Claude Opus 4.7 placed and give it no mark out of five.

Arena Creative Writing 2nd of 143 · 1480LiveBench Language 17th of 35 · 77.9 via xHigh effort
Also scored, on boards we give no mark for
Arena Instruction Following 4th of 143LiveBench 8th of 35 via xHigh effortLiveBench Instruction Following 15th of 35 via xHigh effort

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.

Every published score for this model16 scoresEvery figure we hold, from 16 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
76.5via xHigh effortindependentsource ↗
50.7via xHigh effortindependentsource ↗
82.1via xHigh effortindependentsource ↗
78.3via xHigh effortindependentsource ↗
66.7via xHigh effortindependentsource ↗
77.9via xHigh effortindependentsource ↗
92.9via xHigh effortindependentsource ↗
87.2via xHigh effortindependentsource ↗
0.074independentsource ↗
1547independentsource ↗
1516.8independentsource ↗
1491.4independentsource ↗
1492.4independentsource ↗
1560.6independentsource ↗
01

Or rent it from someone else

Cheapest published offer

Why this differs from the header. The strip above quotes Anthropic's own list price. This is the cheapest live offer at the widest standard context we hold, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$5.00 in / $25.00 out
Context served
1M
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
Amazon Bedrockus$5.00 / $25.001M55 tok/sNoNoConfirmed
OpenRouter$5.00 / $25.001Mnot measuredUnknownUnknownUnknown
Microsoft Azure AIus-east-2$5.00 / $25.001M50 tok/sNoNoUnknown
Microsoft Azure AIglobal$5.00 / $25.001M17 tok/sNoNoUnknown
DeepInfra$5.00 / $25.001Mnot measuredUnknownUnknownUnknown
Google Vertex AIglobal$5.00 / $25.001M72 tok/sNoNoConfirmed
Anthropic$5.00 / $25.001M128K out46 tok/sNoYes30 daysUnknown
Amazon Bedrockeu-west-1$5.50 / $27.501M56 tok/sNoNoConfirmed
Google Vertex AIeurope$5.50 / $27.501M8 tok/sNoNoConfirmed

Across the 9 listings we hold: 7 say they do not train on prompts, 0 say they do and 2 do not say. 4 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

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

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
Amazon Bedrockus
OpenRouter
Microsoft Azure AIus-east-2
Microsoft Azure AIglobal
DeepInfra
Google Vertex AIglobal
Anthropic
Amazon Bedrockeu-west-1
Google Vertex AIeurope

Tool calling: 8 of 9 listings say yes, 1 publishes no parameter list. JSON output: 8 of 9 listings say yes, 1 publishes no parameter list. Strict schema: 6 of 9 listings say yes, 2 say no, 1 publishes no parameter list.

02

Models people weigh against Claude Opus 4.7

03

When we formed this view

Dates behind this page

Aug 2, 2026BenchmarkScored 1547 on Arena Codingleaderboard
Aug 2, 2026BenchmarkScored 1480 on Arena Creative Writingleaderboard
Aug 2, 2026BenchmarkScored 1516.8 on Arena Hard Promptsleaderboard
Aug 2, 2026BenchmarkScored 1490.9 on Arena Instruction Followingleaderboard
Aug 2, 2026BenchmarkScored 1491.4 on Arena Mathsleaderboard
Aug 2, 2026BenchmarkScored 1492.4 on Arena Text (overall)leaderboard
Aug 2, 2026BenchmarkScored 1560.6 on Arena Code (WebDev)leaderboard
Jul 28, 2026BenchmarkScored 0.074 on Arena Agent (IPS)leaderboard
Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Jun 25, 2026BenchmarkScored 76.5 via xHigh effort on LiveBenchleaderboard

Prices last checked 9d ago

What we do not know about this model yet

  • 1 of 9 listings publish no parameter list, so what their API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 2 of 9 listings do not say whether they train on prompts.
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

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text+image+file->text
Catalogue slug
anthropic-claude-opus-4-7

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us