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Anthropic · Frontier

Claude 4.7 Opus Thinking

Added Apr 16, 2026

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Use in the app

Claude Opus 4.7 with thinking enabled (default budget: 16k tokens).

  • 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

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
128K
Average output (7 days)
1.9K tokens
Longer than 90% of 473 models

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TryLing 3.1 FlashGPT 6 SolGemini 3.8 FlashAll 3

Public evaluations

Benchmarks

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

Intelligence Index

40.7

Tested at max reasoning effort

Better than 85% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    73.6

    Composite of the coding evaluations

    Better than 84% of 168 scored models

Agentic work

  • AA-Briefcasev1.1

    1,252 Elo

    Agentic knowledge work, rated head to head

    Better than 60% of 166 scored models

  • GDPval-AAv2.1

    1,353 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 62% of 187 scored models

Document reasoning

  • AA-LCRv1.1

    78.7%

    Reasoning across long documents

    Better than 71% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    42.3%

    Expert-level questions across academic fields

    Better than 82% of 323 scored models

  • GPQA Diamond

    91.4%

    Graduate-level science questions

    Better than 84% of 291 scored models

  • IFBench

    58.6%

    Following precise output instructions

    Better than 58% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    51.5%

    Earlier terminal task suite

    Better than 91% of 212 scored models

  • τ²-Bench Telecom

    88.6%

    Tool use in a customer-support simulation

    Better than 72% of 214 scored models

  • AA-LCR (unversioned)

    78.7%

    Long-context reasoning, earlier grading

    Better than 71% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Claude 4.7 Opus Thinking was tested at max 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
167.2 tok/s
Faster than 80% of 260 models
Time to first token
3.8 s
Quicker than 43% of 260 models
Prompt cache hits
40.2%
About $3.19 per 1M input tokens with caching
Request success (24h)
98.6%
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 85.7%
  • 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-4.7:thinking",
    "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-4.7:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Anthropic

Other Anthropic models, starting with the same family.