Anthropic · Frontier
Claude 4.7 Opus Thinking
Claude Opus 4.7 with thinking enabled (default budget: 16k tokens).
- 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
- $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)
- 1.9K tokens
- Longer than 90% of 473 models
Side by side
Claude 4.7 Opus Thinking compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Claude 4.7 Opus ThinkingAnthropicThis model | Claude Opus 4.8 ThinkingAnthropicRemove | |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Discovery tier | Frontier | Frontier |
| Added | Apr 16, 2026 | May 28, 2026 |
| Limits | ||
| Context window | 1M | 1M |
| Max output | 128K | 128K |
| Average output | 1.9K tokens | 1.3K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $5.00 | $5.00 |
| Output | $25.00 | $25.00 |
| Cache read | $0.50 | $0.50 |
| Performance | ||
| Throughput | 98.9 tok/s | 195.7 tok/sBest |
| Time to first token | 3.0 s | 2.8 sBest |
| Request success (24h) | 99.1% | 100.0%Best |
| Benchmark indexes | ||
| Intelligence Index | 40.7 | 41.8Best |
| Coding Index | 73.6 | 74.3Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | Yes |
| Reasoning effort | low, medium, high, xhigh, max | low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Claude 4.7 Opus Thinking
- Claude Opus 4.8 Thinking
Intelligence Index
- Claude 4.7 Opus Thinking40.7
- Claude Opus 4.8 Thinking41.8
Claude 4.7 Opus Thinking tested at max reasoning effort
Claude 4.7 Opus Thinking: Better than 85% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Claude 4.7 Opus Thinking: 73.6
- Claude Opus 4.8 Thinking: 74.3Top
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Claude 4.7 Opus Thinking: —
- Claude Opus 4.8 Thinking: 45.6%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Claude 4.7 Opus Thinking: —
- Claude Opus 4.8 Thinking: 17.4%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Claude 4.7 Opus Thinking: 1,252 Elo
- Claude Opus 4.8 Thinking: 1,319 EloTop
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Claude 4.7 Opus Thinking: 1,353 Elo
- Claude Opus 4.8 Thinking: 1,454 EloTop
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Claude 4.7 Opus Thinking: —
- Claude Opus 4.8 Thinking: 22.8%
AA-LCRv1.1
Reasoning across long documents
- Claude 4.7 Opus Thinking: 78.7%Top
- Claude Opus 4.8 Thinking: 77.7%
MLCR-AA
Long-context reasoning over medical records
- Claude 4.7 Opus Thinking: —
- Claude Opus 4.8 Thinking: 19.4%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Claude 4.7 Opus Thinking: 42.3%
- Claude Opus 4.8 Thinking: 48.7%Top
GPQA Diamond
Graduate-level science questions
- Claude 4.7 Opus Thinking: 91.4%
- Claude Opus 4.8 Thinking: 92.0%Top
IFBench
Following precise output instructions
- Claude 4.7 Opus Thinking: 58.6%
- Claude Opus 4.8 Thinking: 62.2%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Claude 4.7 Opus Thinking: —
- Claude Opus 4.8 Thinking: 21.7%
SciCode
Scientific computing in Python
- Claude 4.7 Opus Thinking: —
- Claude Opus 4.8 Thinking: 54.4%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Claude 4.7 Opus Thinking: 51.5%
- Claude Opus 4.8 Thinking: 58.3%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- Claude 4.7 Opus Thinking: 88.6%
- Claude Opus 4.8 Thinking: 94.4%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Claude 4.7 Opus Thinking: 78.7%Top
- Claude Opus 4.8 Thinking: 77.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Claude 4.7 Opus 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
- 98.9 tok/s
- Faster than 62% of 256 models
- Time to first token
- 3.0 s
- Quicker than 51% of 256 models
- Prompt cache hits
- 55.9%
- About $2.48 per 1M input tokens with caching
- Request success (24h)
- 99.1%
- 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-opus-4.7: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-opus-4.7:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Anthropic
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