Anthropic · Frontier
Claude Sonnet 4.6 Thinking
Claude Sonnet 4.6 with extended thinking enabled for tougher coding, planning, and multi‑tool tasks. Ideal for long‑horizon agent workflows and complex problem solving.
- 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
- $3.00
- Output
- $15.00
- Cache read
- $0.30
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 128K
- Average output (7 days)
- 598 tokens
- Longer than 56% of 473 models
Side by side
Claude Sonnet 4.6 Thinking compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Claude Sonnet 4.6 ThinkingAnthropicThis model | Gemini Pro LatestGoogleRemove | |
|---|---|---|
| Provider | Anthropic | |
| Discovery tier | Frontier | Frontier |
| Added | Feb 17, 2026 | Mar 29, 2026 |
| Limits | ||
| Context window | 1M | 1.05MBest |
| Max output | 128KBest | 65.54K |
| Average output | 598 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $3.00 | $2.00Best |
| Output | $15.00 | $12.00Best |
| Cache read | $0.30 | $0.20Best |
| Cache write | — | $0.38 |
| Performance | ||
| Throughput | 97.5 tok/sBest | 43.0 tok/s |
| Time to first token | 3.1 sBest | 6.8 s |
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 30.1Best | 29.7 |
| Coding Index | 63.0 | 68.8Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | No |
| Audio input | No | Yes |
| Video input | No | Yes |
| 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 Sonnet 4.6 Thinking
- Gemini Pro Latest
Intelligence Index
- Claude Sonnet 4.6 Thinking30.1
- Gemini Pro Latest29.7
Claude Sonnet 4.6 Thinking tested at max reasoning effort
Claude Sonnet 4.6 Thinking: Better than 73% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Claude Sonnet 4.6 Thinking: 63.0
- Gemini Pro Latest: 68.8Top
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Claude Sonnet 4.6 Thinking: 20.1%
- Gemini Pro Latest: 35.4%Top
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Claude Sonnet 4.6 Thinking: 3.7%
- Gemini Pro Latest: 9.4%Top
Harvey LAB-AAv1.1
Legal tasks passed in full, with no material hallucination
- Claude Sonnet 4.6 Thinking: —
- Gemini Pro Latest: 0.0%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Claude Sonnet 4.6 Thinking: 1,062 EloTop
- Gemini Pro Latest: 456 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Claude Sonnet 4.6 Thinking: 1,233 EloTop
- Gemini Pro Latest: 791 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Claude Sonnet 4.6 Thinking: 15.8%
- Gemini Pro Latest: 17.8%Top
AA-LCRv1.1
Reasoning across long documents
- Claude Sonnet 4.6 Thinking: 80.0%
- Gemini Pro Latest: 82.0%Top
MLCR-AA
Long-context reasoning over medical records
- Claude Sonnet 4.6 Thinking: 7.8%
- Gemini Pro Latest: 11.1%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Claude Sonnet 4.6 Thinking: 33.6%
- Gemini Pro Latest: 47.0%Top
GPQA Diamond
Graduate-level science questions
- Claude Sonnet 4.6 Thinking: 87.5%
- Gemini Pro Latest: 94.1%Top
IFBench
Following precise output instructions
- Claude Sonnet 4.6 Thinking: 56.6%
- Gemini Pro Latest: 77.1%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Claude Sonnet 4.6 Thinking: 3.0%
- Gemini Pro Latest: 4.0%Top
SciCode
Scientific computing in Python
- Claude Sonnet 4.6 Thinking: 50.1%
- Gemini Pro Latest: 58.7%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Claude Sonnet 4.6 Thinking: 53.0%
- Gemini Pro Latest: 53.8%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- Claude Sonnet 4.6 Thinking: 75.7%
- Gemini Pro Latest: 95.6%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Claude Sonnet 4.6 Thinking: 80.0%
- Gemini Pro Latest: 82.0%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Claude Sonnet 4.6 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
- 97.5 tok/s
- Faster than 61% of 256 models
- Time to first token
- 3.1 s
- Quicker than 50% of 256 models
- Prompt cache hits
- 85.8%
- About $0.68 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.
- 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.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-sonnet-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-sonnet-4.6:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Anthropic
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