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Anthropic · Frontier

Claude Opus Latest

Added Mar 29, 2026

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Use in the app

Compatibility alias that routes to the newest version of Claude Opus. Currently routes to Claude Opus 5.5.

  • 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
$4.00
Output
$20.00
Cache read
$0.20
Cache write
$5.00
$8.00 for a 1-hour cache

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
128K

Side by side

Claude Opus Latest compared

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

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Claude Opus LatestAnthropicThis modelClaude 4.7 Opus ThinkingAnthropicRemove
ProviderAnthropicAnthropic
Discovery tierFrontierFrontier
AddedMar 29, 2026Apr 16, 2026
Limits
Context window1M1M
Max output128K128K
Average output—1.9K tokens
Pricing, USD per 1M tokens
Input$4.00Best$5.00
Output$20.00Best$25.00
Cache read$0.20Best$0.50
Cache write$5.00—
Performance
Throughput133.5 tok/sBest98.9 tok/s
Time to first token9.0 s3.0 sBest
Request success (24h)99.8%Best99.1%
Benchmark indexes
Intelligence Index53.6Best40.7
Coding Index—73.6
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 Latest
  • Claude 4.7 Opus Thinking

Intelligence Index

  • Claude Opus Latest53.6
  • Claude 4.7 Opus Thinking40.7

Claude Opus Latest tested at high reasoning effort

Claude Opus Latest: Better than 98% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Claude Opus Latest: —
    • Claude 4.7 Opus Thinking: 73.6

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Claude Opus Latest: 63.2%
    • Claude 4.7 Opus Thinking: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Claude Opus Latest: 33.8%
    • Claude 4.7 Opus Thinking: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Claude Opus Latest: 1,683 EloTop
    • Claude 4.7 Opus Thinking: 1,252 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Claude Opus Latest: 1,704 EloTop
    • Claude 4.7 Opus Thinking: 1,353 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Claude Opus Latest: 28.8%
    • Claude 4.7 Opus Thinking: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Claude Opus Latest: 82.7%Top
    • Claude 4.7 Opus Thinking: 78.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • Claude Opus Latest: 15.0%
    • Claude 4.7 Opus Thinking: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Claude Opus Latest: 55.6%Top
    • Claude 4.7 Opus Thinking: 42.3%

  • GPQA Diamond

    Graduate-level science questions

    • Claude Opus Latest: —
    • Claude 4.7 Opus Thinking: 91.4%

  • IFBench

    Following precise output instructions

    • Claude Opus Latest: —
    • Claude 4.7 Opus Thinking: 58.6%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Claude Opus Latest: 56.6%
    • Claude 4.7 Opus Thinking: —

  • SciCode

    Scientific computing in Python

    • Claude Opus Latest: 60.4%
    • Claude 4.7 Opus Thinking: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Claude Opus Latest: —
    • Claude 4.7 Opus Thinking: 51.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Claude Opus Latest: —
    • Claude 4.7 Opus Thinking: 88.6%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Claude Opus Latest: 82.7%Top
    • Claude 4.7 Opus Thinking: 78.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Claude Opus Latest 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
133.5 tok/s
Faster than 71% of 256 models
Time to first token
9.0 s
Quicker than 10% of 256 models
Prompt cache hits
75.3%
About $1.14 per 1M input tokens with caching
Request success (24h)
99.8%
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 79.5%
  • 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-latest",
    "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-latest",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Anthropic

Other Anthropic models, starting with the same family.