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Anthropic · Frontier

Claude Opus 5

Added Jul 24, 2026

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Use in the app

Claude Opus 5 is Anthropic's flagship model for advanced coding, long-running agentic tasks, research, and complex knowledge work.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
Reasoning effort
low · medium · high · xhigh · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$5.00
Output
$25.00
Cache read
$0.50
Cache write
$6.25
$10.00 for a 1-hour cache

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
128K
Average output (7 days)
1.5K tokens
Longer than 86% of 473 models

Side by side

Claude Opus 5 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Claude Opus 5AnthropicThis modelClaude 4.7 OpusAnthropicRemove
ProviderAnthropicAnthropic
Discovery tierFrontierFrontier
AddedJul 24, 2026Apr 16, 2026
Limits
Context window1M1M
Max output128K128K
Average output1.5K tokens742 tokens
Pricing, USD per 1M tokens
Input$5.00$5.00
Output$25.00$25.00
Cache read$0.50$0.50
Cache write$6.25—
Performance
Throughput177.8 tok/sBest80.1 tok/s
Time to first token3.8 s1.2 sBest
Request success (24h)99.9%Best99.5%
Benchmark indexes
Intelligence Index48.1Best30.9
Coding Index76.5—
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesYes
Reasoning effortlow, medium, high, xhigh, maxlow, medium, high, xhigh, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Claude Opus 5
  • Claude 4.7 Opus

Intelligence Index

  • Claude Opus 548.1
  • Claude 4.7 Opus30.9

Claude Opus 5 tested at high reasoning effort

Claude Opus 5: Better than 95% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Claude Opus 5: 76.5
    • Claude 4.7 Opus: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Claude Opus 5: 53.6%
    • Claude 4.7 Opus: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Claude Opus 5: 25.3%
    • Claude 4.7 Opus: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Claude Opus 5: 1,558 EloTop
    • Claude 4.7 Opus: 1,067 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Claude Opus 5: 1,595 Elo
    • Claude 4.7 Opus: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Claude Opus 5: 19.6%
    • Claude 4.7 Opus: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Claude Opus 5: 79.0%Top
    • Claude 4.7 Opus: 75.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • Claude Opus 5: 11.7%
    • Claude 4.7 Opus: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Claude Opus 5: 52.8%Top
    • Claude 4.7 Opus: 33.3%

  • GPQA Diamond

    Graduate-level science questions

    • Claude Opus 5: 93.7%Top
    • Claude 4.7 Opus: 88.5%

  • IFBench

    Following precise output instructions

    • Claude Opus 5: —
    • Claude 4.7 Opus: 43.6%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Claude Opus 5: 46.0%
    • Claude 4.7 Opus: —

  • SciCode

    Scientific computing in Python

    • Claude Opus 5: 55.4%
    • Claude 4.7 Opus: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Claude Opus 5: —
    • Claude 4.7 Opus: 54.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Claude Opus 5: —
    • Claude 4.7 Opus: 74.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Claude Opus 5: 79.0%Top
    • Claude 4.7 Opus: 75.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Claude Opus 5 was tested at high reasoning effort; compare scores measured at the same effort.Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
177.8 tok/s
Faster than 80% of 256 models
Time to first token
3.8 s
Quicker than 40% of 256 models
Prompt cache hits
74.3%
About $1.66 per 1M input tokens with caching
Request success (24h)
99.9%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 91.6%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-opus-5",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="anthropic/claude-opus-5",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Anthropic

Other Anthropic models, starting with the same family.