Anthropic · Frontier
Claude Sonnet 5
Claude Sonnet 5 supports coding, agentic workflows, long-context reasoning, computer use, and practical knowledge work.
- Tools
- Vision
- Structured output
- PDF input
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $2.00
- Output
- $10.00
- Cache read
- $0.20
- 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)
- 291 tokens
- Longer than 30% 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
38.2
Tested at max reasoning effort
Better than 82% of 326 scored models
Indexes
Coding Index
71.5Composite of the coding evaluations
Better than 80% of 168 scored models
Agentic work
AutomationBench-AA
36.5%Workflow automation, penalized for guardrail violations
Better than 54% of 173 scored models
AutomationBench-AA tasks completed
10.8%Workflows finished end to end without a guardrail violation
Better than 54% of 173 scored models
AA-Briefcasev1.1
1,357 EloAgentic knowledge work, rated head to head
Better than 72% of 166 scored models
GDPval-AAv2.1
1,464 EloEconomically valuable occupational tasks, rated head to head
Better than 76% of 187 scored models
Document reasoning
GDP.pdf
13.2%Professional reasoning over PDF documents, all-pass rate
Better than 60% of 171 scored models
AA-LCRv1.1
82.0%Reasoning across long documents
Better than 85% of 309 scored models
MLCR-AA
5.0%Long-context reasoning over medical records
Better than 13% of 121 scored models
Reasoning and knowledge
Humanity’s Last Exam
41.3%Expert-level questions across academic fields
Better than 80% of 323 scored models
GPQA Diamond
91.1%Graduate-level science questions
Better than 81% of 291 scored models
Coding
Terminal-Benchv4.0
14.1%Practical software engineering in a terminal
Better than 67% of 171 scored models
SciCode
54.3%Scientific computing in Python
Better than 71% of 174 scored models
Legacy evaluations
AA-LCR (unversioned)
82.0%Long-context reasoning, earlier grading
Better than 85% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. Claude Sonnet 5 was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis
- #14Document Overall1466.1
- #12Document Style Control Overall1475.7
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- #19FrontierCode Main42.7%
- #20FrontierCode Extended56.2%
Ranks among Noumen catalog models on FrontierCode leaderboards. Only top-20 placements are listed.FrontierCode
- #13EQ-Bench 41225
- #20Longform Writing78.3
Ranks among Noumen catalog models on EQ-Bench leaderboards. Only top-20 placements are listed.EQ-Bench
- #7Agentic Game Dev1188
- #11Web Apps1244
- #9Full Stack1249
- #7Native Apps1228
- #14Mobile Apps1211
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
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
- 72.1 tok/s
- Faster than 51% of 260 models
- Time to first token
- 30.8 s
- Quicker than 0% of 260 models
- Prompt cache hits
- 76.6%
- About $0.62 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",
"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",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Anthropic
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