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 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.
| Claude 4.6 Opus Thinking LowAnthropicThis model | GPT 5.3 CodexOpenAIRemove | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Discovery tier | Frontier | Frontier |
| Added | Feb 5, 2026 | Feb 24, 2026 |
| Limits | ||
| Context window | 1MBest | 400K |
| Max output | 128K | 128K |
| Average output | 1.6K tokens | 281 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $5.00 | $1.75Best |
| Output | $25.00 | $14.00Best |
| Cache read | $0.50 | $0.18Best |
| Performance | ||
| Request success (24h) | — | 98.5% |
| Benchmark indexes | ||
| Intelligence Index | 31.9 | 32.5Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | Yes |
| Reasoning effort | — | 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
- GPT 5.3 Codex
Intelligence Index
- Claude 4.6 Opus Thinking Low31.9
- GPT 5.3 Codex32.5
Claude 4.6 Opus Thinking Low tested at max reasoning effort
Claude 4.6 Opus Thinking Low: Better than 74% of 326 scored models
Agentic work
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Claude 4.6 Opus Thinking Low: —
- GPT 5.3 Codex: 868 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Claude 4.6 Opus Thinking Low: 78.0%
- GPT 5.3 Codex: 83.3%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Claude 4.6 Opus Thinking Low: 39.9%
- GPT 5.3 Codex: 42.5%Top
GPQA Diamond
Graduate-level science questions
- Claude 4.6 Opus Thinking Low: 89.6%
- GPT 5.3 Codex: 91.5%Top
IFBench
Following precise output instructions
- Claude 4.6 Opus Thinking Low: 53.1%
- GPT 5.3 Codex: 75.4%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Claude 4.6 Opus Thinking Low: 46.2%
- GPT 5.3 Codex: 53.0%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- Claude 4.6 Opus Thinking Low: 92.1%Top
- GPT 5.3 Codex: 86.0%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Claude 4.6 Opus Thinking Low: 78.0%
- GPT 5.3 Codex: 83.3%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.
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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