Anthropic · Frontier
Claude 4.6 Opus Thinking Low
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 473 models
Side by side
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
31.9
Tested at max reasoning effort
Better than 74% of 326 scored models
Document reasoning
AA-LCRv1.1
78.0%Reasoning across long documents
Better than 65% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
39.9%Expert-level questions across academic fields
Better than 76% of 323 scored models
GPQA Diamond
89.6%Graduate-level science questions
Better than 75% of 291 scored models
IFBench
53.1%Following precise output instructions
Better than 53% of 215 scored models
Legacy evaluations
Terminal-Bench Hard
46.2%Earlier terminal task suite
Better than 88% of 212 scored models
τ²-Bench Telecom
92.1%Tool use in a customer-support simulation
Better than 78% of 214 scored models
AA-LCR (unversioned)
78.0%Long-context reasoning, earlier grading
Better than 65% of 309 scored models
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.
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
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