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
Claude Sonnet 5 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Claude Sonnet 5AnthropicThis model | GPT 5.5OpenAIRemove | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Discovery tier | Frontier | Frontier |
| Added | Jun 30, 2026 | Apr 23, 2026 |
| Limits | ||
| Context window | 1M | 1.05MBest |
| Max output | 128K | 128K |
| Average output | 291 tokens | 490 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00Best | $5.00 |
| Output | $10.00Best | $30.00 |
| Cache read | $0.20Best | $0.50 |
| Cache write | $2.50 | — |
| Performance | ||
| Throughput | 102.8 tok/s | — |
| Time to first token | 12.1 s | — |
| Request success (24h) | 99.8% | 100.0%Best |
| Benchmark indexes | ||
| Intelligence Index | 38.2 | 38.4Best |
| Coding Index | 71.5 | 74.9Best |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | Yes |
| Reasoning effort | — | none, low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Claude Sonnet 5
- GPT 5.5
Intelligence Index
- Claude Sonnet 538.2
- GPT 5.538.4
Claude Sonnet 5 tested at max reasoning effort
Claude Sonnet 5: Better than 82% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Claude Sonnet 5: 71.5
- GPT 5.5: 74.9Top
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Claude Sonnet 5: 36.5%
- GPT 5.5: 47.3%Top
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Claude Sonnet 5: 10.8%
- GPT 5.5: 19.6%Top
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Claude Sonnet 5: 1,357 EloTop
- GPT 5.5: 1,136 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Claude Sonnet 5: 1,464 EloTop
- GPT 5.5: 1,351 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Claude Sonnet 5: 13.2%
- GPT 5.5: 21.2%Top
AA-LCRv1.1
Reasoning across long documents
- Claude Sonnet 5: 82.0%
- GPT 5.5: 84.3%Top
MLCR-AA
Long-context reasoning over medical records
- Claude Sonnet 5: 5.0%
- GPT 5.5: 28.9%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Claude Sonnet 5: 41.3%
- GPT 5.5: 45.8%Top
GPQA Diamond
Graduate-level science questions
- Claude Sonnet 5: 91.1%
- GPT 5.5: 93.5%Top
IFBench
Following precise output instructions
- Claude Sonnet 5: —
- GPT 5.5: 75.9%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Claude Sonnet 5: 14.1%
- GPT 5.5: 14.6%Top
SciCode
Scientific computing in Python
- Claude Sonnet 5: 54.3%
- GPT 5.5: 55.8%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Claude Sonnet 5: —
- GPT 5.5: 60.6%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Claude Sonnet 5: —
- GPT 5.5: 93.9%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Claude Sonnet 5: 82.0%
- GPT 5.5: 84.3%Top
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
- Claude Sonnet 5
- GPT 5.5
| Leaderboard | Claude Sonnet 5 | GPT 5.5 |
|---|---|---|
| Document Overall | #14 · 1466.1 | #6 · 1485.7 |
| Document Style Control Overall | #12 · 1475.7 | #8 · 1482.8 |
| Math | Not in top 20 | #15 · 1500.6 |
| Instruction Following | Not in top 20 | #19 · 1477.6 |
| German | Not in top 20 | #16 · 1490.3 |
| Industry Business And Management And Financial Operations | Not in top 20 | #10 · 1490.1 |
| Industry Legal And Government | Not in top 20 | #17 · 1495.1 |
| Industry Mathematical | Not in top 20 | #15 · 1506.3 |
| Japanese | Not in top 20 | #8 · 1505.1 |
| Korean | Not in top 20 | #16 · 1451.5 |
| Non English | Not in top 20 | #17 · 1473.6 |
| Spanish | Not in top 20 | #10 · 1485.0 |
| Vision Style Control Overall | Not in top 20 | #13 · 1286.0 |
| Vision Style Control · Creative Writing Vision | Not in top 20 | #13 · 1281.0 |
| Vision Style Control · Diagram | Not in top 20 | #8 · 1323.3 |
| Vision Style Control · English | Not in top 20 | #13 · 1280.9 |
| Vision Style Control · Entity Recognition | Not in top 20 | #14 · 1219.2 |
| Vision Style Control · Homework | Not in top 20 | #6 · 1335.1 |
| Vision Style Control · Humor | Not in top 20 | #8 · 1287.0 |
| Vision Style Control · Ocr | Not in top 20 | #14 · 1299.0 |
| Search Overall | Not in top 20 | #2 · 1246.6 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- Claude Sonnet 5
- GPT 5.5
| Leaderboard | Claude Sonnet 5 | GPT 5.5 |
|---|---|---|
| FrontierCode Main | #19 · 42.7% | #18 · 43.0% |
| FrontierCode Extended | #20 · 56.2% | #16 · 56.7% |
Ranks among Noumen catalog models on FrontierCode leaderboards. Only top-20 placements are listed.FrontierCode
- Claude Sonnet 5
- GPT 5.5
| Leaderboard | Claude Sonnet 5 | GPT 5.5 |
|---|---|---|
| EQ-Bench 4 | #13 · 1225 | #7 · 1294 |
| Longform Writing | #20 · 78.3 | Not in top 20 |
| Creative Writing v3 | Not in top 20 | #18 · 1845 |
| EQ-Bench 3 | Not in top 20 | #8 · 1554 |
Ranks among Noumen catalog models on EQ-Bench leaderboards. Only top-20 placements are listed.EQ-Bench
- Claude Sonnet 5
- GPT 5.5
| Leaderboard | Claude Sonnet 5 | GPT 5.5 |
|---|---|---|
| Agentic Game Dev | #7 · 1188 | #12 · 1142 |
| Web Apps | #11 · 1244 | Not in top 20 |
| Full Stack | #9 · 1249 | Not in top 20 |
| Native Apps | #7 · 1228 | #15 · 1165 |
| Mobile Apps | #14 · 1211 | Not in top 20 |
| SVG | Not in top 20 | #19 · 1233 |
| ASCII Art | Not in top 20 | #15 · 1251 |
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
- Claude Sonnet 5
- GPT 5.5
| Leaderboard | Claude Sonnet 5 | GPT 5.5 |
|---|---|---|
| Roleplay | Not in top 20 | #11 · 30.1% |
| Math | Not in top 20 | #15 · 6.5% |
Ranks among Noumen catalog models on Use cases leaderboards. Only top-20 placements are listed.
- Claude Sonnet 5
- GPT 5.5
| Leaderboard | Claude Sonnet 5 | GPT 5.5 |
|---|---|---|
| Epoch Capabilities Index | Not in top 20 | #10 · 162.9 |
| FrontierMath v2 (Tiers 1–3) | Not in top 20 | #1 · 85.3% |
| SWE-bench Verified | Not in top 20 | #1 · 80.6% |
| GPQA Diamond | Not in top 20 | #3 · 94.0% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- Claude Sonnet 5
- GPT 5.5
| Leaderboard | Claude Sonnet 5 | GPT 5.5 |
|---|---|---|
| ARC-AGI-1 | Not in top 20 | #12 · 96.5% |
| ARC-AGI-2 | Not in top 20 | #11 · 85.0% |
| ARC-AGI-3 (Default harness) | Not in top 20 | #14 · 0.4% |
Ranks among Noumen catalog models on ARC Prize leaderboards. Only top-20 placements are listed.ARC Prize
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
- 102.8 tok/s
- Faster than 63% of 256 models
- Time to first token
- 12.1 s
- Quicker than 6% of 256 models
- Prompt cache hits
- 73.9%
- About $0.67 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
Related models
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