Claude Opus 4.7 Thinking

Claude Opus 4.7 Thinking represents a massive leap in agentic capabilities and visual intelligence. With a 3x increase in vision resolution up to 2576 pixels, Claude Opus 4.7 Thinking can now map UI elements with 1:1 pixel accuracy. It introduces the xhigh reasoning intensity, bridging the gap between standard and maximum inference levels. For developers, Claude Opus 4.7 Thinking solves three times more production tasks than its predecessor, making it a true autonomous agent. Available on GPTProto.com with transparent pay-as-you-go pricing, Claude Opus 4.7 Thinking is the premier choice for complex engineering and creative UI design.

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

Claude Opus 4.7 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

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 Thinking

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 4.7 ThinkingCurrent $		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 Thinking: High-Resolution Vision and Agentic Coding

I've spent the last week testing the latest release from Anthropic, and it's clear that Claude Opus 4.7 Thinking isn't just a minor patch; it's a fundamental shift in how we approach autonomous tasks. You can explore all available AI models on our platform to see how this new version stacks up, but the immediate takeaway is its sheer raw power in visual and logical reasoning. Claude Opus 4.7 Thinking handles complex inputs that would have throttled previous versions, and it does so without increasing the price per token.

Why Developers Are Switching to Claude Opus 4.7 Thinking for Production APIs

The engineering world is buzzing about the Rakuten-SWE-Bench results. Claude Opus 4.7 Thinking solved three times as many production-level tasks compared to the 4.6 version. We aren't just talking about writing snippets anymore; Claude Opus 4.7 Thinking is capable of building entire systems from scratch. For instance, it successfully constructed a Rust-based text-to-speech engine autonomously. This level of autonomy means Claude Opus 4.7 Thinking acts more like an agentic partner than a simple autocomplete tool. It verifies its own results, follows long-chain instructions without drifting, and reports back only when the job is done.

When you get started with the Claude Opus 4.7 Thinking API, you'll notice a significant improvement in instruction following. The ai sector has been waiting for a model that doesn't just write code but understands the engineering lifecycle. Claude Opus 4.7 Thinking hits that mark. It integrates with tools like Claude Code, using new commands like /ultrareview to spot bugs and architectural flaws that other models miss.

"Claude Opus 4.7 Thinking marks the first time an AI model has successfully bridged the gap between 'coding assistant' and 'autonomous engineer' while maintaining human-like taste in UI output."

What’s New in the Claude Opus 4.7 Thinking Vision Upgrade?

Vision has always been a strong suit for the Claude family, but Claude Opus 4.7 Thinking takes it to an extreme level. It now supports resolutions up to 2576 pixels on the long edge, totaling roughly 3.75 million pixels. That is a 3x jump. What does this mean for your api integration? It means Claude Opus 4.7 Thinking can align screenshot coordinates 1:1 with real pixels. If you are building tools for computer use or UI automation, this level of precision is mandatory. You can explore AI-powered image and video creation tools on GPTProto to see how high-resolution vision changes the game.

Beyond just seeing better, Claude Opus 4.7 Thinking understands technical diagrams, chemical structures, and complex UI layouts with a refined "taste." Anthropic explicitly mentioned that Claude Opus 4.7 Thinking is more creative and tasteful, leading to higher-quality PPTs, documents, and interface designs. This isn't just about pixels; it's about the intelligence behind the eyes of Claude Opus 4.7 Thinking.

How to Optimize the Claude Opus 4.7 Thinking xhigh Reasoning Intensity

One of the most interesting technical additions is the xhigh reasoning intensity. Think of it as the "extra-large" option between high and max. Claude Opus 4.7 Thinking allows you to toggle this intensity to balance cost and deep-thought performance. In many tests, the low-inference mode of Claude Opus 4.7 Thinking performed nearly as well as the mid-inference mode of the previous version. This efficiency is a massive win for users who need to manage your API billing effectively without sacrificing quality.

For those worried about safety, Claude Opus 4.7 Thinking is the first model to launch with Anthropic’s new Project Glasswing safeguards. It’s nearly as secure as the internal Mythos Preview model, which was held back because it was identifying system vulnerabilities that humans hadn't even found yet. Claude Opus 4.7 Thinking brings that advanced security to the public api while keeping the price stable at $5 per million input tokens and $25 per million output tokens.

Claude Opus 4.7 Thinking Comparison Table

Feature	Claude Opus 4.6	Claude Opus 4.7 Thinking	Advantage
Max Vision Resolution	~1.2M Pixels	3.75M Pixels (2576px)	Claude Opus 4.7 Thinking
SWE-Bench Performance	Standard	3x Improvement	Claude Opus 4.7 Thinking
Reasoning Modes	High / Max	High / xhigh / Max	Claude Opus 4.7 Thinking
Input Cost (1M)	$5.00	$5.00	Parity
Output Cost (1M)	$25.00	$25.00	Parity

Integrating Claude Opus 4.7 Thinking with GPTProto Workflow

Using Claude Opus 4.7 Thinking on GPTProto means you don't have to deal with complex credit systems or monthly subscriptions that expire. You can track your Claude Opus 4.7 Thinking API calls in real-time through our dashboard. This pay-as-you-go model ensures that you only pay for the exact tokens Claude Opus 4.7 Thinking consumes. Whether you are using the new /ultrareview feature in code or running high-resolution vision analysis, our infrastructure handles the heavy lifting.

We also offer a way to earn commissions by referring friends to use Claude Opus 4.7 Thinking, making it easier to offset your development costs. If you want to keep up with the latest updates, stay informed with AI news and trends on our site, as the pace of updates for Claude Opus 4.7 Thinking and Claude Code has been daily lately. The era of the truly autonomous agent has arrived with Claude Opus 4.7 Thinking, and it is more accessible than ever through our platform.

To get the most out of this model, I recommend experimenting with the Auto Mode. With Claude Opus 4.7 Thinking, you no longer need special suffixes to start an autonomous session. It just works. The creative output is noticeably better, and the technical stability is top-tier. You can find deep-dive tutorials on the GPTProto tech blog to help you master the xhigh intensity settings and high-res vision prompts for your next project.

Frequently Asked Questions about Claude Opus 4.7 Thinking

Get answers to common questions about the capabilities, pricing, and features of Claude Opus 4.7 Thinking.

What is the main difference between Claude Opus 4.7 Thinking and version 4.6?

Claude Opus 4.7 Thinking offers 3x better coding performance on production tasks and supports high-resolution vision up to 2576 pixels. It also introduces the xhigh reasoning intensity for better control over inference depth.

How does the xhigh intensity mode work in Claude Opus 4.7 Thinking?

The xhigh mode in Claude Opus 4.7 Thinking sits between the high and max settings, providing a deeper level of reasoning for complex tasks without the full latency or cost of the maximum setting.

Can Claude Opus 4.7 Thinking really build entire software systems?

Yes, Claude Opus 4.7 Thinking has demonstrated the ability to autonomously build complex projects, such as a Rust text-to-speech engine, by validating its own code and iterating on errors.

Is the vision resolution in Claude Opus 4.7 Thinking actually 3x higher?

Exactly. Claude Opus 4.7 Thinking supports up to 3.75 million pixels, which allows it to read tiny UI details and technical charts that previous models would find blurry or unreadable.

Does Claude Opus 4.7 Thinking cost more than previous versions?

No, the API price for Claude Opus 4.7 Thinking remains at $5 per million input tokens and $25 per million output tokens, offering significantly more power for the same price.

How do I access Claude Opus 4.7 Thinking on GPTProto?

You can select Claude Opus 4.7 Thinking from our model selection menu. We use a transparent pay-as-you-go system so you can start using it immediately with no subscription required.

What are the new security safeguards in Claude Opus 4.7 Thinking?

Claude Opus 4.7 Thinking is the first model to implement the Project Glasswing safeguards, making it highly resistant to jailbreaking and capable of spotting deep system vulnerabilities.

Can Claude Opus 4.7 Thinking help with UI and UX design?

Yes, Claude Opus 4.7 Thinking has been specifically tuned for better aesthetic taste and creativity, making it excellent for generating UI layouts and high-quality presentation content.

What is the /ultrareview command in Claude Opus 4.7 Thinking?

This is a specialized tool within the Claude Code environment that allows Claude Opus 4.7 Thinking to perform deep audits of codebases to find bugs and design inconsistencies.

How accurate is the pixel mapping in Claude Opus 4.7 Thinking?

Due to the 2576px resolution support, Claude Opus 4.7 Thinking can map coordinates at a 1:1 ratio, which is vital for computer use automation and precise clicking tasks.

Does Claude Opus 4.7 Thinking support long-chain instructions?

Claude Opus 4.7 Thinking excels at long-chain reasoning. It is designed to stay on track throughout complex engineering tasks without losing context or ignoring constraints.

Can I use Claude Opus 4.7 Thinking for autonomous web browsing?

While Claude Opus 4.7 Thinking is primarily an AI model, its enhanced vision and reasoning make it the ideal engine for any agentic framework that requires visual navigation of the web.

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.

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.

Claude Opus 4.7 Thinking: High-Resolution Vision and Agentic Coding

Why Developers Are Switching to Claude Opus 4.7 Thinking for Production APIs

What’s New in the Claude Opus 4.7 Thinking Vision Upgrade?

How to Optimize the Claude Opus 4.7 Thinking xhigh Reasoning Intensity

Claude Opus 4.7 Thinking Comparison Table

Integrating Claude Opus 4.7 Thinking with GPTProto Workflow

What is the main difference between Claude Opus 4.7 Thinking and version 4.6?

How does the xhigh intensity mode work in Claude Opus 4.7 Thinking?

Can Claude Opus 4.7 Thinking really build entire software systems?

Is the vision resolution in Claude Opus 4.7 Thinking actually 3x higher?

Does Claude Opus 4.7 Thinking cost more than previous versions?

How do I access Claude Opus 4.7 Thinking on GPTProto?

What are the new security safeguards in Claude Opus 4.7 Thinking?

Can Claude Opus 4.7 Thinking help with UI and UX design?

What is the /ultrareview command in Claude Opus 4.7 Thinking?

How accurate is the pixel mapping in Claude Opus 4.7 Thinking?

Does Claude Opus 4.7 Thinking support long-chain instructions?

Can I use Claude Opus 4.7 Thinking for autonomous web browsing?

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

Claude 4.7: Brilliant Coding, Broken Recall