Models / Anthropic/ Claude Sonnet 4.5

Claude Sonnet 4.5

Anthropic · released Sep 29, 2025

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$3.00
Output
$15.00
Cached
$0.30

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

Our take

Written Sep 17, 2026

Claude Sonnet 4.5 is a hosted-only model for text, images and files: we list no download for it, so using it means choosing a host. It is strongest on software engineering work, where it resolved 74.8% of real GitHub issues end-to-end inside the Sonar Foundation Agent harness.

Who should pick it

Pick it for software engineering work where fixes must land in an existing codebase, or for long-document work where splitting files is a nuisance. Every listed offer sits at the same rate except two that run higher, so the host you choose barely changes the bill. Skip it if you need to run the model on your own hardware, or if maths and web-app building are the work you have in mind.

The case for it

  • Resolved 74.8% of real GitHub issues end-to-end on SWE-bench Verified, measured inside the Sonar Foundation Agent harness, so the figure reflects the model working within that scaffold rather than alone.
  • The request capacity is large enough that long documents need not be split up first, though reliable recall across all of it is unverified in our data.
  • Text, images and files go into the same request, so a screenshot or a document does not have to be transcribed first.

The case against it

  • We list no download for it, so using it means choosing a host and paying per token.
  • Its 48.7% pass on contamination-free competitive programming problems covers self-contained exercises rather than fixes inside an existing codebase.
  • On the Arena boards, maths and web-app building sit among its lower preference scores while coding is among its stronger ones; these are human preference ratings, not correctness measures.
00

How good is it?

A closed text model from Anthropic for drafting prose and writing code, with no weak spots flagged on the board.

Good at
  • drafts, rewrites and editingArena Creative Writing · 22nd of 168
  • writing and completing codeArena Coding · 36th of 168

EverydayGeneral questions and everyday reasoning

3.5 of 5

Arena Text (overall)44th of 168 · 1455

Arena Hard Prompts 39th of 168Arena Maths 69th of 163

Also on this board: 1457 (Sep 25, 2026), 1456 (Aug 10, 2026). Read the pair, not the higher one.

CodingWriting and fixing code on its own

4 of 5

Arena Coding36th of 168 · 1512

Arena Code (WebDev) 67th of 95LiveCodeBench 12th of 16

Also on this board: 1519 (Sep 25, 2026), 1519 (Aug 10, 2026). Read the pair, not the higher one.

AgenticPlanning, calling tools, staying on task

Scored, not ratedSWE-bench Verified · 4th of 42 · 74.8

Not yet scored on Arena Agent. It is on SWE-bench Verified, in 4th of 42 with 74.8.

WritingDrafting and rewriting prose

3.5 of 5

Arena Creative Writing22nd of 168 · 1454

Arena Creative Writing is the only board that has scored it for this.

Also on this board: 1450 (Sep 25, 2026), 1449 (Aug 10, 2026). Read the pair, not the higher one.

Other boards it appears on
Arena Instruction Following 30th of 168

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.

Every published score for this model9 scoresEvery figure we hold, from 9 boards, with who ran it and a link to the source — including the boards no rating above is built on.
48.7source ↗
1512source ↗
1454source ↗
1483source ↗
1427source ↗
1455source ↗
1384source ↗
74.8source ↗
01

Where to rent it

Prices checked between 57 min and 60 min 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
$3.00 in / $15.00 out
Context served
1M
Throughput
~42 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
Claude Platform on AWSThrough OpenRouter$3.00 / $15.00checked 59 min ago1M64K max reply37 tok/sNoYes30 daysUnknown
Microsoft Azure AIglobalThrough OpenRouter$3.00 / $15.00checked 59 min ago200K64K max reply38 tok/sNoNoUnknown
Amazon BedrockThrough OpenRouter$3.00 / $15.00checked 59 min ago1M64K max reply36 tok/sNoNoConfirmed
OpenRouterOpenRouter's own listing$3.00 / $15.00checked 60 min ago1Mnot measuredUnknownUnknownUnknown
Google Vertex AIglobalThrough OpenRouter$3.00 / $15.00checked 59 min ago1M64K max reply35 tok/sNoNoConfirmed
AnthropicDirect$3.00 / $15.00checked 57 min ago1M64K max reply42 tok/sNoYes30 daysUnknown
Google Vertex AIus-east5Through OpenRouter$3.30 / $16.50checked 59 min ago1M64K max reply46 tok/sNoNoConfirmed
Amazon Bedrockeu-west-1Through OpenRouter$3.30 / $16.50checked 59 min ago1M64K max reply37 tok/sNoNoConfirmed

Across the 8 listings we hold: 7 say they do not train on prompts, 0 say they do and 1 does not say. 4 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
Claude Platform on AWSThrough OpenRouter✓✓✓
Microsoft Azure AIglobalThrough OpenRouter✓✓✓
Amazon BedrockThrough OpenRouter✓✓✓
OpenRouterOpenRouter's own listing✓✓✓
Google Vertex AIglobalThrough OpenRouter✓✗✓
AnthropicDirect✓✓✓
Google Vertex AIus-east5Through OpenRouter✓✗✓
Amazon Bedrockeu-west-1Through OpenRouter✓✓✓

Tool calling: 8 of 8 listings say yes. JSON output: 6 of 8 listings say yes, 2 say no. Strict schema: 8 of 8 listings say yes.

02

Models people weigh against Claude Sonnet 4.5

03

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 1512 on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1454 on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1483 on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1462 on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1427 on Arena Maths
What movedleaderboard
Sep 25, 2026BenchmarkScored 1455 on Arena Text (overall)
What movedleaderboard
Sep 25, 2026BenchmarkScored 1384 on Arena Code (WebDev)
What movedleaderboard
Sep 21, 2026BenchmarkScored 48.7 on LiveCodeBench
What movedleaderboard
Aug 1, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Nov 3, 2025BenchmarkScored 74.8 via Sonar Foundation Agent on SWE-bench Verified
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

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 8 listings does not say whether it trains 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-sonnet-4-5

Machine-readable model card (omc.json) →

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