Claude Opus 5 (High)
Context 1M tokens
Top 5 cheapest providers (Adjusted $/task)
The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.
Within the active global provider, residency and confidentiality filters.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Googlevia OpenRouter — Price via OpenRouter: OpenRouter's price for Google's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Google's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03. | $5.00 | $25.00 | |
| 2 | Amazon Bedrockvia OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03. | $5.00 | $25.00 | |
| 3 | Azurevia OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03. | $5.00 | $25.00 | |
| 4 | Azure AI Foundrydirect — Direct price: Azure AI Foundry's own price list (https://prices.azure.com/api/retail/prices), collected 2026-11-03. | direct — Direct price: Azure AI Foundry's own price list (https://prices.azure.com/api/retail/prices), collected 2026-11-03. | $5.00 | $25.00 | |
| 5 | Google Vertex AIdirect — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03. | direct — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03. | $5.00 | $25.00 |
Composite
7 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one83.8
AA Coding v4.x 76.5Coding Agent v1.4 65.6AA Intelligence (est.) 43.4AA Agentic —Epoch ECI 164.5Software ECI 166.4DesignArena 1254/1306
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
42 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
6 of 43 values are Anthropic's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.
- Epoch ECI · attached
- Software ECI · attached
- DesignArena Web Apps (agentic) · attached
- DesignArena Full-Stack · attached
Agentic
AA-Briefcase951,557 Elo
AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.
GDPval-AA v2931,629 Elo
GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Terminal-Bench v2.1 (AA)9387.6%
Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
Terminal-Bench v4.0 (AA)9446.0%
Terminal-Bench v4.0 (AA) v4.0 → · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.
τ²-Bench Airline (OpenRouter run)9879.6%
τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
OSWorld 2.0, August 2026 task release (XLANG Lab) v2026.08.08no percentile29.0%
OSWorld 2.0, August 2026 task release (XLANG Lab) v2026.08.08 → · batch tool — A computer-use agent completes 108 long-horizon, real-world workflows across 31 self-hosted websites and desktop applications, each taking a person about 1.6 hours.
Terminal-Bench 2.1 (Vals Index v2)8984.6%
Terminal-Bench 2.1 (Vals Index v2) v2 → · Published board — Command-line interface problem solving; the page states that each index column is that benchmark's own published standalone score, so the runner is not asserted here.
LMArena Agent Arena (overall net improvement)899.8%
LMArena Agent Arena (overall net improvement) published 2026-09-26 → · Published board — Ranking of models as the orchestrator in LMArena’s Agent Mode, scored by the causal net improvement over the average model across behavioural signals from real sessions.
Coding
Artificial Analysis Coding Agent Index v1.48065.6%
Artificial Analysis Coding Agent Index v1.4 v1.4 → · Claude Code — The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.
SciCode (AA subproblems) v1.0.18055.4%
SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.
CursorBench 4.0 (Cursor)developer's claim44.7%† self-reported by the developer
CursorBench 4.0 (Cursor) v4.0 → · Published board — Agent evaluation on ambiguous, multi-file tasks drawn from real Cursor sessions.
DeepSWE (Datacurve, via Epoch AI)9072.8%
DeepSWE (Datacurve, via Epoch AI) published 2026-09-15 → · mini-SWE-agent — Pass rate of coding agents on original, long-horizon software engineering tasks, run by Datacurve with the mini-swe-agent harness.
FrontierCode 1.1 Main (Cognition)developer's claim48.0%† self-reported by the developer
FrontierCode 1.1 Main (Cognition) v1.1 → · Claude Code — Whether a maintainer would merge the agent's pull request, on tasks crafted by open-source maintainers and graded with tests, rubrics and verifiers.
SWE-rebench, issues 15 May – 1 Jul 2026 (Nebius) 2026-05-15..2026-07-017163.4%
SWE-rebench, issues 15 May – 1 Jul 2026 (Nebius) 2026-05-15..2026-07-01 → · SWE-rebench fixed ReAct scaffold, tool mode — A model resolves 111 fresh GitHub issues from 65 repositories, created between 15 May and 1 July 2026, inside one fixed minimal agent scaffold, run five times.
FrontierCode 1.1 Extended (Cognition)developer's claim58.5%† self-reported by the developer
FrontierCode 1.1 Extended (Cognition) v1.1 → · Claude Code — Whether a maintainer would merge the agent's pull request, on the full 150-task FrontierCode set crafted by open-source maintainers and graded with tests, rubrics and verifiers.
LMArena WebDev (Code Arena, overall)791,662 Elo
LMArena WebDev (Code Arena, overall) published 2026-09-26 → · Published board — Community pairwise-vote ranking of models on front-end web development tasks, including agentic multi-step coding, published by LMArena as a Bradley-Terry rating.
AA Coding Index v4.x · frozen 2026-10-279476.5
AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).
Efficiency
CursorBench 4.0 cost per task (Cursor)developer's claim$9.00† self-reported by the developer
CursorBench 4.0 cost per task (Cursor) v4.0 → · Published board — Cursor's published USD cost per task for each CursorBench 4.0 model-effort configuration.
FrontierCode 1.1 Main cost per rollout (Cognition)developer's claim$7.24† self-reported by the developer
FrontierCode 1.1 Main cost per rollout (Cognition) v1.1 → · Claude Code — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Main model and reasoning effort.
GPQA Diamond (OpenRouter run) — measured cost per task17$0.13
GPQA Diamond (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running GPQA Diamond for this configuration.
BrowseComp (OpenRouter search run) — measured cost per taskno percentile$2.36
BrowseComp (OpenRouter search run) — measured cost per task published 2026-09-15 → · parallel · server-tool — Mean USD OpenRouter actually spent per task while running BrowseComp for this configuration.
DeepSearchQA (OpenRouter search run) — measured cost per task50$0.79
DeepSearchQA (OpenRouter search run) — measured cost per task published 2026-09-15 → · parallel · server-tool — Mean USD OpenRouter actually spent per task while running DeepSearchQA for this configuration.
HLE (OpenRouter search run) — measured cost per taskno percentile$0.41
HLE (OpenRouter search run) — measured cost per task published 2026-09-15 → · parallel · server-tool — Mean USD OpenRouter actually spent per task while running HLE for this configuration.
WideSearch (OpenRouter search run) — measured cost per taskno percentile$1.36
WideSearch (OpenRouter search run) — measured cost per task published 2026-09-15 → · parallel · server-tool — Mean USD OpenRouter actually spent per task while running WideSearch for this configuration.
τ²-Bench Airline (OpenRouter run) — measured cost per task6$0.5
τ²-Bench Airline (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running τ²-Bench Airline for this configuration.
FrontierCode 1.1 Extended cost per rollout (Cognition)developer's claim$5.84† self-reported by the developer
FrontierCode 1.1 Extended cost per rollout (Cognition) v1.1 → · Claude Code — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Extended model and reasoning effort.
Instruction-following
LisanBench word chains, v0.2.0 (Lisan al Gaib)10015,428
LisanBench word chains, v0.2.0 (Lisan al Gaib) v0.2.0 → · Published board — A model builds the longest chain of English words it can, each differing from the last by one letter, with no repeats and only dictionary words, from 50 starting words; any broken rule ends the chain.
Knowledge
Humanity's Last Exam (AA text-only)9852.8%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index9733.7
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
BrowseComp (OpenRouter search run)no percentile89.2%
BrowseComp (OpenRouter search run) published 2026-09-15 → · parallel · server-tool — Hard-to-locate facts on the live web, scored on persistent multi-step research. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
DeepSearchQA (OpenRouter search run)10088.7%
DeepSearchQA (OpenRouter search run) published 2026-09-15 → · parallel · server-tool — Questions whose answers are lists, scored for exhaustive retrieval with no padding. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
HLE (OpenRouter search run)no percentile67.3%
HLE (OpenRouter search run) published 2026-09-15 → · parallel · server-tool — Humanity's Last Exam as a search benchmark: expert questions answered with live search. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
WideSearch (OpenRouter search run)no percentile67.3%
WideSearch (OpenRouter search run) published 2026-09-15 → · parallel · server-tool — Fill an entire table; answer-item accuracy scores partial matches. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
Long-context
GDP.pdf (AA)7519.6%
GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.
AA-LCR v1.18479.0%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
MLCR-AA9859.4%
MLCR-AA published 2026-09-10 → · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.
Science
CritPt (AA)9628.3%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)9893.7%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (OpenRouter run)8187.0%
GPQA Diamond (OpenRouter run) published 2026-09-15 → · Published board — Graduate-level science questions that resist retrieval and reward careful reasoning. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
Tool-use
AutomationBench-AA v1.0.67453.6%
AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
τ³-Banking (AA) v1.0.19344.7%
τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.
Vision
MMMU Pro (AA)9182.4%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Chartography 100-tasks3325.7%
Chartography 100-tasks → · Published board — Can a model read the charts professionals rely on — Kaplan-Meier curves, candlesticks, contour maps, Sankey diagrams, Bode plots, wind roses — from the image alone, to an expert-set precision?
Unusual results
2 threshold-crossing signals flagged · 25 eligible benchmark families
How flags are calculated
Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.
- unusually strong LisanBench word chains, v0.2.0 (Lisan al Gaib)
Why
Observed: 15428.33 pointsPeer mean 2254.67038 · peer sd 3623.30948 · n 52 · families 44Directed z 3.636 · baseline z 1.144 · gap 2.492 · profile n 2415428.33 pointsmeasuredobserved 2026-09-16lisanbench.com ↗Evidence
Axis: LisanBench word chains, v0.2.0 (Lisan al Gaib) · v0.2.0 · Published boardExact value:15428.33pointsObserved: 2026-09-16T19:06:45.428158+00:00 · publication date: not recordedObservation id:public:a52264120c7ef75000affa98 - unusually strong CritPt (AA) published 2026-09-10
Why
Observed: 0.28286 fractionPeer mean 0.04412 · peer sd 0.08179 · n 537 · families 370Directed z 2.919 · baseline z 1.173 · gap 1.746 · profile n 240.28286 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: CritPt (AA) · published 2026-09-10 · Published boardExact value:0.282857142857143fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:712be54a-77ae-41b2-9a58-21181479d6ee:critpt
Missing coverage · 277 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.
Variants / reasoning settings
Artificial Analysis snapshot 2026-11-03 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| Claude Opus 5 (Max) | 78.0 | 47.8est. |
| Claude Opus 5 (Xhigh) | 77.0 | 46.1est. |
| Claude Opus 5 (High) | 76.5 | 43.4est. |
| Claude Opus 5 (Medium) | 74.3 | 34.6est. |
| Claude Opus 5 (Low) | 66.9 | 29.5est. |
| Opus 5 (none) | — | — |
SUBSCRIPTION PLAN
GitHub Copilot
Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.
Token offers by platform · 12 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
12 offers within the active global filters, 4 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.
OpenRouter (8)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/anthropic/claude-opus-5/providers, collected 2026-11-03.
| globalgoogle-vertex/global | $5.00 raw in $/1M | $25.00 raw out $/1M | ||
| Amazon Bedrock | globalamazon-bedrock | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| Azure | globalazure/global | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| Amazon Bedrock | euamazon-bedrock/eu-west-1EU | $5.50 raw in $/1M | $27.50 raw out $/1M | |
| Azure | globalazure/us | $5.50 raw in $/1M | $27.50 raw out $/1M | |
| globalgoogle-vertex/us | $5.50 raw in $/1M | $27.50 raw out $/1M | ||
| eugoogle-vertex/europeEU | $5.50 raw in $/1M | $27.50 raw out $/1M | ||
| Amazon Bedrock | globalamazon-bedrock/us-east-1 | $5.50 raw in $/1M | $27.50 raw out $/1M |
Azure AI Foundry (1)
Direct prices from Azure AI Foundry's own price list. Source: prices.azure.com/api/retail/prices, collected 2026-11-03.
| Azure AI Foundry | us | $5.00 raw in $/1M | $25.00 raw out $/1M |
Google Vertex AI (2)
Direct prices from Google Vertex AI's own price list. Source: cloud.google.com/vertex-ai/generative-ai/pricing, collected 2026-11-03.
| Google Vertex AI | global | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| Google Vertex AI | euEU | $5.50 raw in $/1M | $27.50 raw out $/1M |
AWS Bedrock (1)
Direct prices from AWS Bedrock's own price list. Source: aws.amazon.com/bedrock/pricing/, collected 2026-11-03.
| AWS Bedrock | eu-central-1 (EU cross-region inference profile)EU | $5.50 raw in $/1M | $27.50 raw out $/1M |