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Claude Opus 5 (Low)

deprecated by benchmark source
Anthropic · released 2026-07-24 · 16 offers

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.

#ProviderAdjusted $/task
1Googlevia OpenRouter — Price via OpenRouter: OpenRouter's price for Google's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03.
2Amazon 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.
3Azurevia OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/anthropic/claude-opus-5/providers), collected 2026-11-03.
4Azure AI Foundrydirect — Direct price: Azure AI Foundry's own price list (https://prices.azure.com/api/retail/prices), collected 2026-11-03.
5Google Vertex AIdirect — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03.

Composite

7 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one

74.8

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 76Coding Agent v1.4: percentile 61AA Intelligence (est.): percentile 89Epoch ECI: percentile 89Software ECI: percentile 90DesignArena: percentile 81

AA Coding v4.x 66.9Coding Agent v1.4 59.4AA Intelligence (est.) 29.5AA 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

28 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

6 of 29 values are Anthropic's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.

Composite attachments (used in the score, not counted as exact benchmarks):
  • Epoch ECI · attached
  • Software ECI · attached
  • DesignArena Web Apps (agentic) · attached
  • DesignArena Full-Stack · attached
Compare this model →

Agentic

  • AA-Briefcase671,216 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 v2761,372 Elo

    GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench v2.1 (AA)7576.4%

    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)8626.3%

    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 percentile22.3%

    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.

Coding

  • Artificial Analysis Coding Agent Index v1.45659.4%

    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) v1.0.15149.2%

    SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.

  • CursorBench 4.0 (Cursor)developer's claim40.7%† 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)4758.1%

    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 claim41.9%† 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.

  • FrontierCode 1.1 Extended (Cognition)developer's claim55.8%† 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.

  • AA Coding Index v4.x · frozen 2026-10-277666.9

    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$4.87† 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$2.68† 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$2.15† 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

Long-context

  • GDP.pdf (AA)6817.2%

    GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.19281.3%

    AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

  • MLCR-AA9253.9%

    MLCR-AA published 2026-09-10 → · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.

Reasoning

  • Chess Puzzles (Epoch AI)3620.0%

    Chess Puzzles (Epoch AI) published 2026-09-18 → · Published board — Best-move selection on 100 novel chess positions generated programmatically by Epoch AI, each with a single Stockfish-verified best move; probes spatial reasoning and planning.

Safety/Alignment

Science

Tool-use

  • AutomationBench-AA v1.0.67051.8%

    AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

  • τ³-Banking (AA) v1.0.16930.3%

    τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.

Vision

Missing coverage · 291 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)

VariantAA CodingAA Intelligence
Claude Opus 5 (Max)78.047.8est.
Claude Opus 5 (Xhigh)77.046.1est.
Claude Opus 5 (High)76.543.4est.
Claude Opus 5 (Medium)74.334.6est.
Claude Opus 5 (Low)66.929.5est.
Opus 5 (none)——

SUBSCRIPTION PLAN

GitHub Copilot

Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.

Input $5.00 / 1M
Cached input $0.500 / 1M
Cache write $6.25 / 1M
Output $25.00 / 1M
Status GA
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.

Google
Amazon Bedrock
Azure
Amazon Bedrock
Azure
Google
Google
Amazon Bedrock

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

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
Google Vertex AI

AWS Bedrock (1)

Direct prices from AWS Bedrock's own price list. Source: aws.amazon.com/bedrock/pricing/, collected 2026-11-03.

AWS Bedrock
Claude Opus 5 (Low) — benchmarks & cost | Benchmark Heaven