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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 modelMuse Spark 1.1MetaRemove
ProviderAnthropicMeta
Discovery tierFrontierBalanced
AddedFeb 5, 2026Jul 9, 2026
Limits
Context window1M1M
Max output128KBest65.54K
Average output1.6K tokens460 tokens
Pricing, USD per 1M tokens
Input$5.00$1.25Best
Output$25.00$4.25Best
Cache read$0.50$0.15Best
Benchmark indexes
Intelligence Index31.933.7Best
Coding Index—71.3
Capabilities
ReasoningYesYes
ToolsYesNo
VisionYesYes
Structured outputYesNo
PDF inputYesNo
Audio inputNoYes
Video inputNoYes
Reasoning effort—minimal, 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 Low
  • Muse Spark 1.1

Intelligence Index

  • Claude 4.6 Opus Thinking Low31.9
  • Muse Spark 1.133.7

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

Indexes

  • Coding Index

    Composite of the coding evaluations

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

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

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

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

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

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

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

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

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

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

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

  • AA-LCRv1.1

    Reasoning across long documents

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

  • MLCR-AA

    Long-context reasoning over medical records

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

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

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

  • GPQA Diamond

    Graduate-level science questions

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

  • IFBench

    Following precise output instructions

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

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

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

  • SciCode

    Scientific computing in Python

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

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

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

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

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

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

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

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.