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Anthropic · Frontier

Claude 4.6 Opus Thinking

Added Feb 5, 2026

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Use in the app

Claude Opus 4.6 with adaptive thinking enabled (default effort: high).

  • 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)
1.4K tokens
Longer than 83% of 465 models

Side by side

Claude 4.6 Opus Thinking compared

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

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Claude 4.6 Opus ThinkingAnthropicThis modelMuse Spark 1.1MetaRemove
ProviderAnthropicMeta
Discovery tierFrontierBalanced
AddedFeb 5, 2026Jul 9, 2026
Limits
Context window1M1M
Max output128KBest65.54K
Average output1.4K tokens460 tokens
Pricing, USD per 1M tokens
Input$5.00$1.25Best
Output$25.00$4.25Best
Cache read$0.50$0.15Best
Performance
Throughput77.0 tok/s—
Time to first token1.9 s—
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index31.933.7Best
Coding Index—71.3
Capabilities
ReasoningYesYes
ToolsYesNo
VisionYesYes
Structured outputYesNo
PDF inputYesNo
Audio inputNoYes
Video inputNoYes
Reasoning effortlow, medium, high, xhigh, maxminimal, low, medium, high, xhigh

Public evaluations

Benchmarks

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

  • Claude 4.6 Opus Thinking
  • Muse Spark 1.1

Intelligence Index

  • Claude 4.6 Opus Thinking31.9
  • Muse Spark 1.133.7

Claude 4.6 Opus Thinking tested at max reasoning effort

Claude 4.6 Opus Thinking: Better than 74% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 71.3

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 38.8%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 13.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 850 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 1,211 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 14.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • Claude 4.6 Opus Thinking: 78.0%Top
    • Muse Spark 1.1: 77.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 7.2%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Claude 4.6 Opus Thinking: 39.9%
    • Muse Spark 1.1: 46.2%Top

  • GPQA Diamond

    Graduate-level science questions

    • Claude 4.6 Opus Thinking: 89.6%
    • Muse Spark 1.1: 89.8%Top

  • IFBench

    Following precise output instructions

    • Claude 4.6 Opus Thinking: 53.1%
    • Muse Spark 1.1: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 6.1%

  • SciCode

    Scientific computing in Python

    • Claude 4.6 Opus Thinking: —
    • Muse Spark 1.1: 58.8%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Claude 4.6 Opus Thinking: 46.2%
    • Muse Spark 1.1: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Claude 4.6 Opus Thinking: 92.1%
    • Muse Spark 1.1: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Claude 4.6 Opus Thinking: 78.0%Top
    • Muse Spark 1.1: 77.7%

Scores from Artificial Analysis, updated Oct 26, 2026. Claude 4.6 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
77.0 tok/s
Faster than 50% of 250 models
Time to first token
1.9 s
Quicker than 79% of 250 models
Prompt cache hits
45.7%
About $2.95 per 1M input tokens with caching
Request success (24h)
100.0%
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 100.0%
  • 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-4.6: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-4.6:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Anthropic

Other Anthropic models, starting with the same family.