Claude Opus 4.7

Claude Opus 4.7 represents a massive leap for developers requiring high-precision ai performance. With the addition of the xhigh thinking level and self-verification logic, Claude Opus 4.7 can manage long-duration tasks with minimal human intervention. Its enhanced vision capabilities, supporting images up to 2576 pixels, make it the premier choice for technical document analysis and complex visual reasoning. Whether you are using the Claude Code Ultra Review feature or scaling enterprise api workflows, Claude Opus 4.7 delivers unmatched accuracy and reliability. Experience the latest from Anthropic on GPTProto.com today.

Modalities

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-4-7",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

Claude Opus 4.7 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

Model

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

Monthly volume

OpenRouter

List + 5.5% credit fee

$721.62

per month

Input (non-cached)$168.80

Cache read$25.32

Output$527.50

Claude

Direct from Claude (list price)

$684

per month

Input (non-cached)$160

Cache read$24

Output$500

BEST VALUE

GPTProto

10% off official

$615.60

per month

After discount$615.60

Effective$615.60

Monthly cost by source

OpenRouter

$721.62

Claude

$684

GPTProto

$615.60

Save $68.40 / month

on GPTProto vs Claude (−10%)

Annual savings ≈ $820.80 · 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

All Models

Claude Opus 4.7

Current

byClaude1M context$4.5/M input$22.5/M output

DeepSeek Flash

byDeepSeek$0.3/M input$1.2/M output

Hy4 Preview

byHunyuan1.05M context$0.7923/M input$2.376/M output

GPT 6 Astra

byOpenAI1.05M context$8/M input$40/M output

Gemini 3.8 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Claude Fable 5.1

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

byZ-AI1.31M context$0.15/M input$0.5/M output

DeepSeek v4 Flash Vision Exp

byDeepSeek1.05M context$0.3/M input$1.2/M output

GLM 5.3

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

Kimi K3

byMoonshotAI1.05M context$2.7/M input$13.5/M output

GPT 5.6 Luna

byOpenAI1.05M context$0.16/M input$0.96/M output

GPT 5.6 Terra

byOpenAI1.05M context$1.6/M input$9.6/M output

Grok 4.5

byGrok500K context$1.2/M input$3.6/M output

Claude Sonnet 5

byClaude1M context$1.8/M input$9/M output

Minimax M3

byMiniMax1.05M context$0.48/M input$0.96/M output

GLM 5.2

byZ-AI1.05M context$1.26/M input$3.96/M output

Claude Fable 5

byClaude1M context$9/M input$45/M output

Qwen3.7 Max

byQwen1M context$0.36/M input$1.44/M output

Claude Opus 4.8 Thinking

byClaude1M context$4.5/M input$22.5/M output

Claude Opus 4.8

byClaude1M context$4.5/M input$22.5/M output

DeepSeek v4 Flash

byDeepSeek1.05M context$0.3/M input$1.2/M output

Grok 4.3

byGrok1M context$0.75/M input$1.5/M output

Kimi K2.6

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

Model					Input → Output
Claude Opus 4.7Current $		1M	$4.50 / $22.50 per 1M	$5.63 / $0.45 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 Output: Text
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 Output: Text
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 Output: Text
Claude Opus 5 $		1M	$4.50 / $22.50 per 1M	$5.63 / $0.45 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.6 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
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 4.7: Next-Gen Reasoning and Vision for Enterprise API Workflows

The release of Claude Opus 4.7 marks a significant milestone in the evolution of large language models. You can now browse Claude Opus 4.7 and other models on our platform to see how this update changes the game for complex problem-solving. Anthropic hasn't just tweaked the numbers; they have fundamentally improved how Claude Opus 4.7 thinks, perceives, and verifies its own logic before you ever see the output.

Claude Opus 4.7 Capabilities That Define the New Standard for Long Tasks

I've noticed that most models struggle when tasks stretch over several minutes or involve dozens of steps. Claude Opus 4.7 changes that narrative. By implementing a self-verification loop, Claude Opus 4.7 checks its reasoning before reporting back. This means you get fewer hallucinations and more reliable data in your api calls. If you are tired of babysitting your ai outputs, Claude Opus 4.7 is the partner you’ve been looking for. It manages long-duration workloads with a level of autonomy we haven't seen in previous versions.

Why Developers Are Choosing Claude Opus 4.7 for Complex Visual Analysis

The vision upgrade in Claude Opus 4.7 is nothing short of impressive. We are talking about the ability to ingest images with a long edge of up to 2,576 pixels. This isn't just about higher resolution; it's about the ability of Claude Opus 4.7 to see fine details in blueprints, medical scans, and dense technical diagrams. When you track your Claude Opus 4.7 API calls, you will see that the model maintains incredible accuracy even with these massive visual inputs. For teams building specialized ai agents, this high-fidelity vision is a massive advantage.

"Claude Opus 4.7 isn't just another update; it's the first time we've seen an ai model successfully integrate self-correction at this scale, effectively reducing the need for constant human supervision in long-form reasoning."

How Does the New xhigh Thinking Level Impact Claude Opus 4.7 Performance?

Anthropic introduced a new thinking grade with this release. Tucked between High and Max, the xhigh level allows Claude Opus 4.7 to dedicate more compute to reasoning without hitting the latency wall of the Max setting. This is perfect for when you need Claude Opus 4.7 to handle a nuanced legal document or a multi-step coding migration. You can manage your API billing and experiment with these different thinking levels to find the sweet spot for your specific use case. The flexibility of Claude Opus 4.7 makes it an incredibly versatile tool for diverse api applications.

Self-Verifying Output: Reducing Supervision with Claude Opus 4.7

The core of the Claude Opus 4.7 update is the autonomous verification system. Before the model produces a final answer, it runs an internal check to ensure the instructions were followed precisely. This is a massive win for reliability. In my testing, Claude Opus 4.7 follows complex, multi-part instructions with significantly higher fidelity than its predecessors. You can read the full API documentation to see how to implement these advanced reasoning features in your own application.

Integrating Claude Opus 4.7 into Your Existing AI API Workflow

Switching to Claude Opus 4.7 is straightforward since the pricing remains consistent with version 4.6. This stability allows businesses to upgrade their ai capabilities without blowing their budget. Whether you are using the new Ultra Review command in Claude Code or building custom tools, the Claude Opus 4.7 api integration is smooth. We recommend checking the GPTProto tech blog for deep-dive tutorials on optimizing your prompt structures for this specific model version.

Claude Opus 4.7 vs Standard Industry Models

When comparing Claude Opus 4.7 to other flagship models, the difference in instruction following becomes clear. While other ai models might rush to an answer, Claude Opus 4.7 takes the time to verify. Use the table below to see how Claude Opus 4.7 stacks up on our platform.

Feature	Claude Opus 4.7	Standard Flagship AI
Max Image Resolution	2,576 Pixels	1,024 - 2,048 Pixels
Self-Verification	Native / Integrated	Manual Prompting Required
Thinking Levels	4 (incl. xhigh)	Typically 2-3
Long Task Stability	High (Reduced Supervision)	Moderate

Getting Started With Claude Opus 4.7 via GPTProto API

If you want to stay ahead of the curve, it's time to test Claude Opus 4.7. The ai world moves fast, and staying updated with the latest AI industry updates is essential. Claude Opus 4.7 offers a unique blend of visual precision and logical depth that is hard to find elsewhere. Plus, you can earn commissions by referring friends to try out Claude Opus 4.7 on our platform. For those looking to build more creative solutions, try GPTProto intelligent AI agents powered by the latest Claude Opus 4.7 engine. The potential for innovation here is truly vast.

Claude Opus 4.7 Frequently Asked Questions

Expert answers to the most common questions about the Claude Opus 4.7 model and its features.

What are the main upgrades in Claude Opus 4.7?

Claude Opus 4.7 introduces three major improvements: the ability to handle much longer tasks with less supervision, significantly more precise instruction following, and a self-verification process where Claude Opus 4.7 checks its work before providing a final report.

How does the vision capability in Claude Opus 4.7 compare to others?

Claude Opus 4.7 features a massive vision boost, allowing it to process images with a long side of up to 2,576 pixels. This makes Claude Opus 4.7 exceptionally good at reading fine print and detailed charts that smaller models might miss.

What is the new xhigh thinking level for Claude Opus 4.7?

The xhigh thinking level is a new setting for Claude Opus 4.7 that sits between the High and Max levels. It provides a balanced approach for Claude Opus 4.7 to apply deep reasoning to complex tasks without the full latency of the maximum setting.

Does Claude Opus 4.7 cost more than the previous version?

No, the pricing for Claude Opus 4.7 is identical to Claude Opus 4.6, making it a high-value upgrade for users who want better performance at the same cost via the api.

Can Claude Opus 4.7 work autonomously on long projects?

While not entirely independent, Claude Opus 4.7 is designed to function with far less human supervision. Its self-verification feature allows Claude Opus 4.7 to work through multi-step logic and correct itself before the final output.

What is the Ultra Review command in Claude Opus 4.7?

Ultra Review is a new feature for Claude Code that utilizes the enhanced reasoning of Claude Opus 4.7 to perform deep code audits and logic checks, ensuring your software is optimized and bug-free.

Is the Auto-Approval mode available for Claude Opus 4.7 users?

Yes, Anthropic has enabled Auto-Approval mode for Max tier users of Claude Opus 4.7, allowing for faster workflows and more automated tool usage within the api environment.

How can I integrate Claude Opus 4.7 into my application?

You can integrate Claude Opus 4.7 by using the GPTProto api. Simply select the Claude Opus 4.7 model in your dashboard and follow our standard integration guides to start making calls.

Does Claude Opus 4.7 handle coding tasks better than 4.6?

Absolutely. Because Claude Opus 4.7 has improved instruction following and the xhigh reasoning capability, it is more adept at handling complex codebases and architectural decisions than previous versions.

What prevents hallucinations in Claude Opus 4.7?

While no model is perfect, the self-verification logic in Claude Opus 4.7 is specifically designed to catch errors. Claude Opus 4.7 reviews its internal logic steps before presenting the final result, which significantly drops the hallucination rate.

Is my data private when using Claude Opus 4.7 on GPTProto?

Yes, we prioritize security. Your Claude Opus 4.7 api interactions are encrypted, and we follow strict privacy protocols to ensure your proprietary data remains safe during processing.

Can I use Claude Opus 4.7 for high-resolution document scanning?

Yes, with support for up to 2,576 pixels, Claude Opus 4.7 is ideal for OCR and visual data extraction from high-resolution PDF documents and technical drawings.

Guides, comparisons, and updates related to this model.

All Articles

Claude Opus 4.7 Claude Code: Worth the Upgrade

Discover how the new claude opus 4.7 claude code tackles complex programming and high-res vision tasks with improved self-checking. Optimize your workflow today.

Claude Code Opus 4.7: Dev Workflow Secrets

Master your dev cycle with claude code opus 4.7. Learn how to optimize logic, vision, and token usage for maximum efficiency. Start building smarter now.

Claude Opus 4.7: Vision Upgrades vs Context

Claude Opus 4.7 brings enhanced vision and task rigor, but community skepticism remains high. See if the performance gains justify the token costs today.

Anthropic Claude Opus 4.7: A Mixed Bag

Is anthropic claude opus 4.7 worth the cost? We test its programming and vision skills to see if it truly beats version 4.6. Explore the verdict.

Claude Opus 4.7: Next-Gen Reasoning and Vision for Enterprise API Workflows

Claude Opus 4.7 Capabilities That Define the New Standard for Long Tasks

Why Developers Are Choosing Claude Opus 4.7 for Complex Visual Analysis

How Does the New xhigh Thinking Level Impact Claude Opus 4.7 Performance?

Self-Verifying Output: Reducing Supervision with Claude Opus 4.7

Integrating Claude Opus 4.7 into Your Existing AI API Workflow

Claude Opus 4.7 vs Standard Industry Models

Getting Started With Claude Opus 4.7 via GPTProto API

What are the main upgrades in Claude Opus 4.7?

How does the vision capability in Claude Opus 4.7 compare to others?

What is the new xhigh thinking level for Claude Opus 4.7?

Does Claude Opus 4.7 cost more than the previous version?

Can Claude Opus 4.7 work autonomously on long projects?

What is the Ultra Review command in Claude Opus 4.7?

Is the Auto-Approval mode available for Claude Opus 4.7 users?

How can I integrate Claude Opus 4.7 into my application?

Does Claude Opus 4.7 handle coding tasks better than 4.6?

What prevents hallucinations in Claude Opus 4.7?

Is my data private when using Claude Opus 4.7 on GPTProto?

Can I use Claude Opus 4.7 for high-resolution document scanning?

Related Articles

Claude Opus 4.7 Claude Code: Worth the Upgrade

Claude Code Opus 4.7: Dev Workflow Secrets

Claude Opus 4.7: Vision Upgrades vs Context

Anthropic Claude Opus 4.7: A Mixed Bag