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  2. /Model
  3. /Claude
  4. /claude-opus-4-7
Claude
Claude Opus 4.7
$ 
Claude Opus 4.7 represents a massive leap in autonomous AI capabilities, specifically engineered to handle longer, more complex tasks with minimal human supervision. This update introduces the revolutionary xhigh thinking level and the Ultra Review command for developers using Claude Code. With enhanced vision that supports images up to 2,576 pixels and a new self-verification logic, Claude Opus 4.7 ensures higher accuracy in technical reporting and coding. On GPTProto, you can integrate this powerful API immediately using our flexible billing system, benefiting from the same competitive pricing as previous versions while accessing superior reasoning power.

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-4-7",
    "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

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

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.

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byMoonshotAI1.05M context$2.7/M input$13.5/M output
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ModelInput → Output
Claude Opus 4.7Current
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1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
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DeepSeek Flash
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——$0.30 / $1.20 per 1M— / $0.006 per 1M
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1.05M$0.79 / $2.38 per 1M— / $0.04 per 1M
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1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
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—1.31M$0.15 / $0.50 per 1M— / $0.03 per 1M
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1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
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1.05M$1.60 / $9.60 per 1M$2.00 / $0.16 per 1M
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500K$1.20 / $3.60 per 1M$0.30 / $0.30 per 1M
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1.05M$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
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1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
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1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
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—1.05M$0.30 / $1.20 per 1M— / $0.006 per 1M
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1M$0.75 / $1.50 per 1M$0.12 / $0.12 per 1M
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205K$0.24 / $0.96 per 1M$0.30 / $0.02 per 1M
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262K$0.54 / $2.70 per 1M$0.09 / $0.09 per 1M
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262K$0.10 / $0.97 per 1M—
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262K$0.10 / $0.97 per 1M—
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Claude Opus 4.7 API: Next-Gen Logic, Autonomy, and High-Res Vision

The arrival of Claude Opus 4.7 marks a significant milestone for developers who need more than just a chatbot; you can now browse Claude Opus 4.7 and other models to see how this release redefines autonomous task execution. Anthropic's latest flagship model isn't just faster; it is smarter about how it manages its own output.

How Claude Opus 4.7 Handles Longer Tasks Without Supervision

One of the most frustrating aspects of building with an AI API is the need for constant hand-holding during multi-step processes. Claude Opus 4.7 changes that. It can now process significantly longer tasks by implementing a self-verification step. Before the AI provides its final report, it checks its own logic. This means if you're using the Claude Opus 4.7 API for data synthesis or complex research, you'll spend less time correcting hallucinations and more time acting on results.

"Claude Opus 4.7 feels like it has developed a 'conscience' for its own output. The way it pauses to verify its work before replying makes it the most reliable partner for long-form technical architecture I've used to date." — Senior Systems Architect

Why Developers Are Switching to Claude Opus 4.7 for Production APIs

Integration is where the value of a model really shows. With Claude Opus 4.7, the instruction following has become noticeably more precise. This is particularly evident when you read the full API documentation for GPTProto. Whether you are enforcing strict JSON schemas or requesting complex formatting, Claude Opus 4.7 adheres to your constraints with surgical accuracy. It’s an ideal choice for production-grade applications where reliability is the top priority.

Claude Opus 4.7 Coding Performance: Ultra Review and xhigh Thinking

For those using Claude Code, the Claude Opus 4.7 update introduces the Ultra Review command. This isn't a simple proofread; it's a deep architectural audit of your code. Furthermore, the new xhigh thinking level—sitting right between High and Max—allows for a more nuanced balance of speed and depth. This level of granular control ensures that your Claude Opus 4.7 tokens are spent efficiently on the hardest parts of your codebase. You can manage your API billing to keep these sessions cost-effective with our pay-as-you-go structure.

Feature Standard AI Models Claude Opus 4.7 (GPTProto)
Max Vision Resolution 1024px - 1536px 2576px (Long Edge)
Thinking Levels Basic Toggle Precision Levels (xhigh included)
Self-Verification Manual Prompting Needed Native Auto-Verification
Billing Model Monthly Subscription Pay-as-you-go / No Credits

What Makes the Claude Opus 4.7 Vision Upgrade Different?

Visual processing often feels like an afterthought in LLMs, but Claude Opus 4.7 treats it as a first-class citizen. By supporting images with a long edge of up to 2,576 pixels, the AI can now identify minute details in schematics, medical imaging, and satellite photos that other models would simply blur. This fine-grained vision allows Claude Opus 4.7 to provide technical analysis on high-resolution assets without losing context. If you want to explore AI-powered image and video creation, this model serves as the perfect logic engine for high-fidelity visual tasks.

How to Get the Best Results From Claude Opus 4.7 on GPTProto

To maximize your output, you should monitor your API usage in real time through our dashboard. Since Claude Opus 4.7 pricing remains identical to the 4.6 version, you are essentially getting more intelligence per dollar. We recommend using the xhigh thinking mode for any task that involves more than three steps of reasoning. This ensures Claude Opus 4.7 spends enough time on the self-verification phase to provide a clean, production-ready response. If you're looking for the latest industry insights on model performance, don't forget to stay informed with AI news and trends on our portal.

Claude Opus 4.7 Frequently Asked Questions

Everything you need to know about integrating and using the Claude Opus 4.7 API.

What is the primary improvement in Claude Opus 4.7?

Claude Opus 4.7 introduces autonomous self-verification, allowing it to handle longer tasks with less human supervision while following instructions more precisely than previous iterations of the AI model.

How does Claude Opus 4.7 handle high-resolution images?

The model's vision capability has been significantly upgraded. Claude Opus 4.7 can now process images where the longest edge is up to 2,576 pixels, enabling it to see very fine details in technical documents and photos.

What is the new 'xhigh' thinking level in Claude Opus 4.7?

The xhigh level is a new thinking intensity setting for Claude Opus 4.7. It sits between the 'High' and 'Max' levels, giving developers more flexibility to balance reasoning depth with latency and cost.

Has the pricing changed for the Claude Opus 4.7 API?

No, the pricing for Claude Opus 4.7 remains the same as the previous Opus 4.6 version, despite the massive increases in logic and vision performance.

What is the 'Ultra Review' command for Claude Opus 4.7?

Ultra Review is a new command available in Claude Code specifically for Claude Opus 4.7. it performs an extremely detailed review of code for logic errors, architectural flaws, and optimization opportunities.

Can I use Claude Opus 4.7 for autonomous coding tasks?

Yes, Claude Opus 4.7 is built for autonomy. Its ability to self-verify output before completion makes it highly effective for long coding sessions in the Claude Code environment.

Is Auto-approval mode available for Claude Opus 4.7?

Yes, the Claude Opus 4.7 update enables Auto-approval mode for Max users, further reducing the friction in long-running automated workflows.

How do I integrate Claude Opus 4.7 via GPTProto?

You can access the Claude Opus 4.7 API through our standard endpoint. Simply top up your account at the billing center and use your API key to start making calls to this new model immediately.

Is my data private when using Claude Opus 4.7 on your platform?

Absolutely. GPTProto ensures that your interactions with Claude Opus 4.7 are handled with enterprise-grade security, and your data is not used to train the base AI models.

Does Claude Opus 4.7 support the same languages as previous versions?

Yes, Claude Opus 4.7 supports a wide range of global languages and is even more adept at handling complex linguistic nuances and technical jargon in non-English languages.

What happens if a Claude Opus 4.7 task takes too long?

The model is designed to manage its own state during long tasks. If it needs more time for verification, it uses its internal 'thinking' capacity to ensure the result is accurate before responding.

Why should I choose Claude Opus 4.7 over other flagship models?

The combination of 2576px vision resolution and the self-verification logic makes Claude Opus 4.7 uniquely suited for high-stakes technical work where precision is more important than raw speed.

Related Articles

Guides, comparisons, and updates related to this model.

All Articles
Claude Opus 4.7 Claude Code: Worth the Upgrade

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

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: 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.

Claude 4.7: Brilliant Coding, Broken Recall

Claude 4.7: Brilliant Coding, Broken Recall

Discover how claude 4.7 handles advanced engineering and high-res vision. We break down the performance gains, token costs, and API access tips. View now.

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To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

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