Anthropic · Frontier
Claude Sonnet 5.5
Claude Sonnet 5.5 handles everyday coding, tool-based workflows, visual analysis, and polished writing with a 1M-token context window. This version skips up-front thinking and can reason between tool calls for faster responses; use Thinking for deeper planning and complex problems.
- Reasoning
- Tools
- Vision
- Structured output
- PDF input
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- low · medium · high
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $2.00
- Output
- $10.00
- Cache read
- $0.10
- Cache write
- $2.50
- $4.00 for a 1-hour cache
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 128K
- Average output (7 days)
- 523 tokens
- Longer than 50% of 473 models
Side by side
Compare models
Put Claude Sonnet 5.5 next to up to three other models. The comparison stays in the link, so you can share it.
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
46.8
Tested at high reasoning effort
Better than 93% of 326 scored models
Agentic work
AutomationBench-AA
59.4%Workflow automation, penalized for guardrail violations
Better than 79% of 173 scored models
AutomationBench-AA tasks completed
29.4%Workflows finished end to end without a guardrail violation
Better than 80% of 173 scored models
AA-Briefcasev1.1
1,635 EloAgentic knowledge work, rated head to head
Better than 93% of 166 scored models
GDPval-AAv2.1
1,548 EloEconomically valuable occupational tasks, rated head to head
Better than 81% of 187 scored models
Document reasoning
GDP.pdf
25.2%Professional reasoning over PDF documents, all-pass rate
Better than 88% of 171 scored models
AA-LCRv1.1
78.0%Reasoning across long documents
Better than 65% of 309 scored models
MLCR-AA
18.9%Long-context reasoning over medical records
Better than 76% of 121 scored models
Reasoning and knowledge
Humanity’s Last Exam
45.8%Expert-level questions across academic fields
Better than 88% of 323 scored models
Coding
Terminal-Benchv4.0
43.9%Practical software engineering in a terminal
Better than 90% of 171 scored models
SciCode
53.7%Scientific computing in Python
Better than 66% of 174 scored models
Legacy evaluations
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 Sonnet 5.5 was tested at high reasoning effort; compare scores measured at the same effort.Artificial Analysis
- #7Combined21.7%
Ranks among Noumen catalog models on Combined leaderboards. Only top-20 placements are listed.
- #5FrontierCode Main52.1%
- #4FrontierCode Extended64.4%
Ranks among Noumen catalog models on FrontierCode leaderboards. Only top-20 placements are listed.FrontierCode
- #6Epoch Capabilities Index166.2
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- #11ARC-AGI-196.5%
Ranks among Noumen catalog models on ARC Prize leaderboards. Only top-20 placements are listed.ARC Prize
- #3Game Development1415
- #7Website1322
- #5UI Component1372
- #2Data Visualization1387
- #63D1399
- #5Web Apps1305
- #3Mobile Apps1280
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
- #10Usage Share2.1%
Ranks among Noumen catalog models on Usage leaderboards. Only top-20 placements are listed.
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
- 269.5 tok/s
- Faster than 92% of 259 models
- Time to first token
- 4.9 s
- Quicker than 31% of 259 models
- Prompt cache hits
- 37.0%
- About $1.30 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- 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-5.5",
"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-5.5",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Anthropic
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