Pass IndexThe State of AISign in

Claude Opus 4.1

Claude Opus 4.1 is a model by Anthropic for reasoning and writing code and agentic, it stands 3rd of 11 on Gdpval — Epoch AI, and 11 sellers in the catalogue publish a price for it.

text + image + file → text · made by Anthropic

$15→$75per Mtok in / out
Anthropic · 9 sellers

Sold by 16 ways

SellerLaneRate
Anthropic 0 ways$7.5per Mtok in$37.5per Mtok out
Anthropic apinot on the seller's list todaybatch$7.5per Mtok in$37.5per Mtok outplatform.claude.com · read 2026-08-24
AWS Bedrock cloudstandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writemodels.dev · read 2026-10-31
Anthropic apistandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writedocs.claude.com · read 2026-10-31
Databricks cloudstandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writemodels.dev · read 2026-10-31
DigitalOcean 0 ways$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache write
DigitalOcean cloudnot on the seller's list todaystandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writemodels.dev · read 2026-10-22
Google Vertex AI cloudstandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writemodels.dev · read 2026-10-31
Microsoft Azure AI 0 ways$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache write
Microsoft Azure AI cloudnot on the seller's list todaystandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writemodels.dev · read 2026-10-22
Nous Research 2 ways$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache write
Nous Research aggregatorbatch$7.5per Mtok in$37.5per Mtok out$0.75per Mtok cached$9.38per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
Nous Research aggregatorstandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 2 ways$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache write
OpenRouter aggregatorbatch$7.5per Mtok in$37.5per Mtok out$0.75per Mtok cached$9.38per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatorstandard$15per Mtok in$75per Mtok out$1.5per Mtok cached$18.75per Mtok cache writeopenrouter.ai · read 2026-08-24
Requesty aggregatornot on the seller's list todayvertex us-east5$13.5per Mtok in$67.5per Mtok out$1.35per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayanthropic$15per Mtok in$75per Mtok out$1.5per Mtok cachedrouter.requesty.ai · read 2026-08-28
Requesty aggregatorvertex$15per Mtok in$75per Mtok out$1.5per Mtok cachedrouter.requesty.ai · read 2026-08-28
AtlasCloud aggregatorstandard$15per Mtok in$75per Mtok out$1.5per Mtok cachedapi.atlascloud.ai · read 2026-09-20
ElectronHub aggregatorstandard$15per Mtok in$75per Mtok outapi.electronhub.ai · read 2026-10-31

Measured 38 standings

PlaceBoardMetricScore
3rdof 11Gdpval — Epoch AIWin Rate (%)0.436
3rdof 49Lech mazur writing — Epoch AIMean score8.47
6thof 22Cybench — Epoch AIUnguided % Solved0.42
14thof 49Metr time horizons — Epoch AIaverage_score0.668
16thof 18Algotune — Epoch AIScore1.34
19thof 41Deepresearchbench — Epoch AIAverage score0.483
19thof 46Enigma eval — Epoch AIAccuracy7.179
21stof 92Forecastbench — Epoch AIOverall score64.7
21stof 35Swe bench verified — Epoch AImean_score73.347
25thof 28Ebr bench — Epoch AImean_score7.937
25thof 34LMArena · SearchScore (Elo)1148
30thof 38Vpct — Epoch AICorrect0.35
32ndof 56Humanity's Last Exam (Epoch AI replication)Accuracy11.52
32ndof 102Simplebench — Epoch AIScore (AVG@5)0.6
43rdof 72Frontiermath tier 4 — Epoch AImean_score4.167
51stof 93Design Arena · asciiart (models)Elo1164
60thof 142Mystery game puzzles — Epoch AImean_score21
63rdof 101FrontierMath (Tiers 1-3)mean_score7.241
69thof 114Design Arena · svg (models)Elo1149
74thof 78Frontiermath tier 4 v2 — Epoch AImean_score2.439
78thof 111Vectara Hallucination LeaderboardHallucination Rate11.8
81stof 414LMArena · TextScore (Elo)1448
87thof 173Weirdml — Epoch AIAccuracy45.86
89thof 150Design Arena · 3d (models)Elo1150
89thof 162Design Arena · gamedev (models)Elo1171
93rdof 132Ale bench — Epoch AIPerformance674.77
93rdof 135Webdev arena — Epoch AIArena Score1388.97
95thof 141LMArena · WebDevScore (Elo)1390
101stof 163Design Arena · codecategories (models)Elo1169
101stof 154Design Arena · dataviz (models)Elo1166
102ndof 157Design Arena · uicomponent (models)Elo1159
106thof 169Design Arena · website (models)Elo1175
107thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score12.632
107thof 202Terminalbench — Epoch AIAccuracy mean0.38
121stof 197Lmca — Epoch AIScore37.08
136thof 235Dtbench — Epoch AIAccuracy80
150thof 326GPQA Diamondmean_score77.273
154thof 306OTIS Mock AIME 2024-2025mean_score68.889

About

Claude Opus 4.1 — a text model from Anthropic, sold by 9 companies from $15 in and $75 out per million tokens, placed 3rd of 49 on Lech mazur writing — Epoch AI.

It takes text, images and files and returns text, with a context window of 200,000 tokens. It was published in May 2025, trained on material up to March 2025. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Nine companies sell it. The cheapest is $15 in and $75 out per million tokens at AWS Bedrock. Beside the standard rate there are batch and separately routed lanes. It has been measured on 38 boards, and stands best at 3rd of 49 on Lech mazur writing — Epoch AI.

Every current figure

Maker
Anthropic
Register
model
Takes
text + image + file
Returns
text
Context
200,000 tokens
Longest answer
64,000 tokens
Published
May 2025
Knowledge to
March 2025
Licence
not read
Sellers
9
Price
$15 in and $75 out per million tokens — AWS Bedrock
Boards
38
Best place
3rd of 49 — Lech mazur writing — Epoch AI

Known as 8 names

claude-opus-4-1-searchanthropic/claude-opus-4.1-20250805anthropic/claude-opus-4.1anthropic/claude-opus-4.1:batchanthropic/claude-opus-4-1vertex/claude-opus-4-1vertex/claude-opus-4-1@us-east5Anthropic: Claude Opus 4.1 (batch)