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Anthropic · Frontier

Claude 4.6 Opus Thinking Low

Added Feb 5, 2026

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Use in the app

Claude Opus 4.6 with adaptive thinking (effort: low).

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
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)
1.6K tokens
Longer than 87% of 465 models

Side by side

Claude 4.6 Opus Thinking Low 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 Thinking LowAnthropicThis modelClaude Opus 5.5AnthropicRemove
ProviderAnthropicAnthropic
Discovery tierFrontierFrontier
AddedFeb 5, 2026Sep 22, 2026
Limits
Context window1M1M
Max output128K128K
Average output1.6K tokens2K tokens
Pricing, USD per 1M tokens
Input$5.00$4.00Best
Output$25.00$20.00Best
Cache read$0.50$0.20Best
Cache write—$5.00
Performance
Throughput—257.3 tok/s
Time to first token—5.4 s
Request success (24h)—99.8%
Benchmark indexes
Intelligence Index31.953.6Best
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesYes
Reasoning effort—low, medium, high, xhigh, max

Public evaluations

Benchmarks

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

  • Claude 4.6 Opus Thinking Low
  • Claude Opus 5.5

Intelligence Index

  • Claude 4.6 Opus Thinking Low31.9
  • Claude Opus 5.553.6

Claude 4.6 Opus Thinking Low tested at max reasoning effort

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

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 63.2%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 33.8%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 1,683 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 1,704 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 28.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • Claude 4.6 Opus Thinking Low: 78.0%
    • Claude Opus 5.5: 82.7%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 15.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Claude 4.6 Opus Thinking Low: 39.9%
    • Claude Opus 5.5: 55.6%Top

  • GPQA Diamond

    Graduate-level science questions

    • Claude 4.6 Opus Thinking Low: 89.6%
    • Claude Opus 5.5: —

  • IFBench

    Following precise output instructions

    • Claude 4.6 Opus Thinking Low: 53.1%
    • Claude Opus 5.5: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 56.6%

  • SciCode

    Scientific computing in Python

    • Claude 4.6 Opus Thinking Low: —
    • Claude Opus 5.5: 60.4%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Claude 4.6 Opus Thinking Low: 46.2%
    • Claude Opus 5.5: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Claude 4.6 Opus Thinking Low: 92.1%
    • Claude Opus 5.5: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Claude 4.6 Opus Thinking Low: 78.0%
    • Claude Opus 5.5: 82.7%Top

Scores from Artificial Analysis, updated Oct 26, 2026. Claude 4.6 Opus Thinking Low was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis

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:low",
    "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:low",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Anthropic

Other Anthropic models, starting with the same family.