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  2. /Model
  3. /Claude
  4. /claude-opus-4-1-20250805-thinking
Claude
Claude Opus 4.1 Thinking (Build 20250805)
$ 
Claude Opus 4.1 is the premier thinking model for complex reasoning. Using its advanced API, developers tackle zero-defect coding and deep scientific synthesis with a 500k context window, ensuring logical consistency in every agentic workflow.

Modalities

Input: TextInput: Document
Output: Text

/

Context

API Usage Examples
$ 
curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "claude-opus-4-1-20250805-thinking",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'
Claude Opus 4.1 20250805 Thinking pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 10% below official rates.

Your usage

Claude · ≈ 148M tokens/mo (48M cached)

OpenRouter
List + 5.5% credit fee
$2164.86
per month
Input (non-cached)$506.40
Cache read$75.96
Output$1582.50
Claude
Direct from Claude (list price)
$2,052
per month
Input (non-cached)$480
Cache read$72
Output$1,500
BEST VALUE
GPTProto
10% off official
$1846.80
per month
After discount$1846.80
Effective$1846.80
Monthly cost by source
OpenRouter
$2164.86
Claude
$2,052
GPTProto
$1846.80
Save $205.20 / month
on GPTProto vs Claude (−10%)
Annual savings ≈ $2462.40 · pay as you go

OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.

Related Models
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Claude Opus 4.1 Thinking (Build 20250805)
Current
$ 
byClaude200K context$13.5/M input$67.5/M output
DeepSeek Flash
$ 
byDeepSeek$0.3/M input$1.2/M output
Hy4 Preview
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byHunyuan1.05M context$0.7923/M input$2.376/M output
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byOpenAI1.05M context$8/M input$40/M output
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byGoogle1.05M context$0.9/M input$4.5/M output
Claude Fable 5.1
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byClaude1M context$9/M input$45/M output
Qwen3.8 Max 0902
$ 
byQwen1M context$1.8/M input$5.4/M output
GLM 5.3 Flash
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byZ-AI1.31M context$0.15/M input$0.5/M output
DeepSeek v4 Flash Vision Exp
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byDeepSeek1.05M context$0.3/M input$1.2/M output
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byZ-AI1.31M context$1.26/M input$3.96/M output
Gemini 3.7 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
Grok 4.6
$ 
byGrok500K context$1.2/M input$3.6/M output
Qwen3.8 Max
$ 
byQwen1M context$1.8/M input$5.4/M output
Claude Opus 5
$ 
byClaude1M context$4.5/M input$22.5/M output
Gemini 3.6 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
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$ 
byMoonshotAI1.05M context$2.7/M input$13.5/M output
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$ 
byOpenAI1.05M context$0.16/M input$0.96/M output
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$ 
byOpenAI1.05M context$1.6/M input$9.6/M output
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byGrok500K context$1.2/M input$3.6/M output
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byClaude1M context$1.8/M input$9/M output
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byMiniMax1.05M context$0.48/M input$0.96/M output
GLM 5.2
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byZ-AI1.05M context$1.26/M input$3.96/M output
Claude Fable 5
$ 
byClaude1M context$9/M input$45/M output
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byQwen1M context$0.36/M input$1.44/M output
Claude Opus 4.8 Thinking
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byClaude1M context$4.5/M input$22.5/M output
Claude Opus 4.8
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byClaude1M context$4.5/M input$22.5/M output
DeepSeek v4 Flash
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byDeepSeek1.05M context$0.3/M input$1.2/M output
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byGrok1M context$0.75/M input$1.5/M output
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byMoonshotAI262K context$0.855/M input$3.6/M output
Minimax M2.5
$ 
byMiniMax205K context$0.24/M input$0.96/M output
Kimi K2.5
$ 
byMoonshotAI262K context$0.54/M input$2.7/M output
Doubao Seed 1.6 Thinking (Build 250715)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Thinking (Build 250615)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Flash (Build 250615)
$ 
byBytedance262K context$0.0182/M input$0.1821/M output
ModelInput → Output
Claude Opus 4.1 Thinking (Build 20250805)Current
$ 
200K$13.50 / $67.50 per 1M$16.88 / $1.35 per 1M
Input: TextInput: Document
Output: Text
DeepSeek Flash
$ 
——$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: TextInput: Image
Output: Text
Hy4 Preview
$ 
1.05M$0.79 / $2.38 per 1M— / $0.04 per 1M
Input: Text
Output: Text
GPT 6 Astra
$ 
1.05M$8.00 / $40.00 per 1M$10.00 / $0.80 per 1M
Input: TextInput: ImageInput: Document
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Gemini 3.8 Flash
$ 
1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio
Output: Text
Claude Fable 5.1
$ 
1M$9.00 / $45.00 per 1M$11.25 / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Qwen3.8 Max 0902
$ 
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio
Output: Text
GLM 5.3 Flash
$ 
—1.31M$0.15 / $0.50 per 1M— / $0.03 per 1M
Input: TextInput: ImageInput: VideoInput: Document
Output: Text
DeepSeek v4 Flash Vision Exp
$ 
—1.05M$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: TextInput: Image
Output: Text
GLM 5.3
$ 
1.31M$1.26 / $3.96 per 1M— / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Gemini 3.7 Flash
$ 
1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: Document
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Grok 4.6
$ 
500K$1.20 / $3.60 per 1M— / $0.30 per 1M
Input: TextInput: Image
Output: Text
Qwen3.8 Max
$ 
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: Document
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Claude Opus 5
$ 
1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
Input: TextInput: ImageInput: Document
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Gemini 3.6 Flash
$ 
1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
Input: TextInput: ImageInput: Document
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Kimi K3
$ 
1.05M$2.70 / $13.50 per 1M$0.27 / $0.27 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Luna
$ 
1.05M$0.16 / $0.96 per 1M$0.20 / $0.02 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GPT 5.6 Terra
$ 
1.05M$1.60 / $9.60 per 1M$2.00 / $0.16 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Grok 4.5
$ 
500K$1.20 / $3.60 per 1M$0.30 / $0.30 per 1M
Input: TextInput: Image
Output: Text
Claude Sonnet 5
$ 
1M$1.80 / $9.00 per 1M$2.25 / $0.18 per 1M
Input: TextInput: Document
Output: Text
Minimax M3
$ 
1.05M$0.48 / $0.96 per 1M$0.10 / $0.10 per 1M
Input: TextInput: ImageInput: Document
Output: Text
GLM 5.2
$ 
1.05M$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
Input: TextInput: ImageInput: Document
Output: Text
Claude Fable 5
$ 
1M$9.00 / $45.00 per 1M$11.25 / $0.90 per 1M
Input: TextInput: Document
Output: Text
Qwen3.7 Max
$ 
1M$0.36 / $1.44 per 1M$0.07 / $0.07 per 1M
Input: TextInput: Document
Output: Text
Claude Opus 4.8 Thinking
$ 
1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
Input: TextInput: Document
Output: Text
Claude Opus 4.8
$ 
1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
Input: TextInput: Document
Output: Text
DeepSeek v4 Flash
$ 
—1.05M$0.30 / $1.20 per 1M— / $0.006 per 1M
Input: Text
Output: Text
Grok 4.3
$ 
1M$0.75 / $1.50 per 1M$0.12 / $0.12 per 1M
Input: TextInput: Image
Output: Text
Kimi K2.6
$ 
262K$0.85 / $3.60 per 1M$0.14 / $0.14 per 1M
Input: TextInput: Document
Output: Text
Minimax M2.5
$ 
205K$0.24 / $0.96 per 1M$0.30 / $0.02 per 1M
Input: TextInput: Document
Output: Text
Kimi K2.5
$ 
262K$0.54 / $2.70 per 1M$0.09 / $0.09 per 1M
Input: TextInput: Document
Output: Text
Doubao Seed 1.6 Thinking (Build 250715)
$ 
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Thinking (Build 250615)
$ 
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
Output: Text
Doubao Seed 1.6 Flash (Build 250615)
$ 
262K$0.02 / $0.18 per 1M—
Input: TextInput: Image
Output: Text

Claude Opus 4.1 Key Capabilities

Experience the most advanced reasoning features available in the Claude Opus 4.1 thinking API, designed for high-precision enterprise tasks.

Elite Claude 4.1 Thinking and Logic

Claude 4.1 uses an internal reasoning budget to solve multi-step problems, reducing logical errors in scientific modeling with Claude precision.

SOTA Coding with Claude Opus 4.1 API

Achieve 96.2% on HumanEval. Claude Opus 4.1 resolves GitHub issues and identifies vulnerabilities in large-scale C++ or Rust codebases easily.

Massive 500k Context Claude Window

Analyze up to 500,000 tokens with perfect recall. Perfect for legal discovery or pharmaceutical research involving massive datasets and Claude documents.

Native Multimodal Claude API Support

Process images, PDFs, and video at 60fps. Claude Opus 4.1 performs temporal reasoning on visual data to explain failures or trends for Claude users.

Claude Opus 4.1 Thinking API FAQ

Find answers to common questions about the Claude Opus 4.1 thinking API, including performance, pricing, and how to integrate this model into your workflow.

How does the Claude Opus 4.1 thinking API work?

The Claude Opus 4.1 thinking API uses an internal reasoning budget to deliberate before finalizing an answer. This Claude active reasoning mode allows the model to verify its own logic and correct errors in real-time. By enabling the Claude thinking block in your API call, you allow Claude to process multi-step problems with a level of depth that standard Claude models cannot match, making it ideal for elite Claude coding and scientific synthesis.

What is the context window for Claude 4.1 Opus?

Claude Opus 4.1 features a massive 500,000-token context window. This expanded Claude capacity allows you to process entire codebases or long legal documents in a single request. Tests show near-perfect Claude information retrieval across the full range, ensuring that Claude never misses a detail in your data. This makes the 4.1 thinking API a powerful tool for large-scale Claude document analysis and complex Claude agentic workflows.

Is Claude Opus 4.1 better for coding than other models?

Yes, Claude Opus 4.1 is the industry leader for coding, scoring 96.2% on HumanEval. Its Claude thinking capabilities allow it to reason through inter-file dependencies and resolve complex Claude GitHub issues that trip up other models. When using the Claude API for software engineering, the model identifies subtle logic bombs and refactors legacy Claude modules for thread safety with professional-grade precision and Claude consistency.

What are the costs for the Claude 4.1 thinking API?

The Claude Opus 4.1 pricing is $15.00 per 1M input tokens and $75.00 per 1M output tokens. Tokens generated during the Claude thinking process are billed at the standard Claude output rate. While more expensive than 'mini' models, the high Claude reasoning density often reduces the number of iterations needed for complex projects, potentially lowering your total Claude spend on sophisticated AI tasks compared to using less capable models.

Does the thinking process increase Claude API latency?

Yes, because the Claude 4.1 thinking API takes time to deliberate, you will notice a higher Time-to-First-Token (TTFT) compared to non-reasoning Claude models. Typically, a 1024-token Claude thinking budget adds 2 to 5 seconds of latency. Consequently, Claude Opus 4.1 is best suited for offline tasks like Claude auditing or modeling where Claude accuracy is more important than immediate real-time responses, rather than simple Claude chat interfaces.

How do I integrate Claude 4.1 via GPTProto.com?

Integrating Claude Opus 4.1 via GPTProto.com is straightforward. We provide a unified, OpenAI-compatible Claude schema that lets you access the Claude thinking API with a single key. Our platform adds Claude value through multi-region failover and centralized Claude billing. To start, simply update your Claude model ID to the Opus 4.1 identifier and configure your Claude thinking token budget. We handle the Claude infrastructure for your team.

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