Claude Opus 5 (Xhigh)
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 one85.8
AA Coding v4.x 77.0Coding Agent v1.4 68.1AA Intelligence (est.) 46.1AA 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
32 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
6 of 33 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-Briefcase981,625 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 v2991,708 Elo
GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Terminal-Bench v2.1 (AA)9588.0%
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)9546.5%
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.
OSWorld 2.0, August 2026 task release (XLANG Lab) v2026.08.08no percentile30.2%
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.
Scale SEAL: SWE-Bench Pro V2 HARD10098.0
Scale SEAL: SWE-Bench Pro V2 HARD published 2026-09-22 → · Published board — Scale SEAL: SWE-Bench Pro V2 HARD results published by Scale AI.
Coding
Artificial Analysis Coding Agent Index v1.49668.1%
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) v1.0.18155.7%
SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.
CursorBench 4.0 (Cursor)developer's claim46.1%† 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)9273.2%
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 claim43.6%† 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.
ProgramBench v110074.7%
ProgramBench v1 → · mini-SWE-agent — AI agents rebuild a complete working program from scratch, given only a compiled reference binary and its bundled documentation in an offline container, and the rebuilt program is scored by hidden behavioral tests.
SWE Atlas Codebase QnA (Scale AI)10063.2%
SWE Atlas Codebase QnA (Scale AI) published 2026-09-15 → · Published board — How well a coding agent answers deep questions about a real codebase, graded against expert rubrics.
SWE Atlas Test Writing (Scale AI)8962.2%
SWE Atlas Test Writing (Scale AI) published 2026-09-15 → · Published board — Whether a coding agent writes production-grade tests for real repositories, graded with rubrics and LLM judges.
FrontierCode 1.1 Extended (Cognition)developer's claim56.9%† 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.
Scale SEAL: SWE-Bench Pro V2 Full10099.4%
Scale SEAL: SWE-Bench Pro V2 Full published 2026-09-26 → · Published board — Scale AI’s refreshed public SWE-Bench Pro split (642 long-horizon tasks in 11 copyleft repositories) run under a locked protocol, scored by resolve rate.
AA Coding Index v4.x · frozen 2026-10-279677.0
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$11.43† 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$9.14† 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.
FrontierCode 1.1 Extended cost per rollout (Cognition)developer's claim$7.44† 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.
Knowledge
Humanity's Last Exam (AA text-only)9854.4%
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 Index9735.4
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
GDP.pdf (AA)8021.0%
GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.
AA-LCR v1.18980.3%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
MLCR-AA9658.3%
MLCR-AA published 2026-09-10 → · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.
Safety/Alignment
BullshitBench V1 (clear pushback)8258.2%
BullshitBench V1 (clear pushback) published 2026-09-10 → · Published board — Whether a model rejects the broken premise of 55 deliberately nonsensical prompts (V1 question set) instead of answering them confidently.
BullshitBench V2 (clear pushback)8670.0%
BullshitBench V2 (clear pushback) published 2026-09-10 → · Published board — Whether a model rejects the broken premise of 100 deliberately nonsensical prompts (V2 question set) instead of answering them confidently.
Science
CritPt (AA)9627.7%
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.
Tool-use
AutomationBench-AA v1.0.67353.2%
AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
τ³-Banking (AA) v1.0.19143.3%
τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.
MCP Atlas (Scale AI)10085.8%
MCP Atlas (Scale AI) published 2026-09-21 → · Published board — How reliably a model completes realistic multi-step workflows over real Model Context Protocol servers: discovering the right tool in a noisy tool menu, calling it with correct parameters, recovering from errors and synthesising the results into an accurate final answer.
Vision
MMMU Pro (AA)9384.0%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Missing coverage · 287 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 |