Claude Opus 4.7 Thinking

Claude Opus 4.7 represents a significant step forward for the Claude model family, focusing on agentic coding capabilities and high-fidelity visual understanding. By offering a new xhigh reasoning intensity tier, Claude Opus 4.7 allows developers to balance speed and intelligence more effectively than previous versions. It solves three times more production-level tasks on engineering benchmarks compared to its predecessor. With vision support reaching 2576 pixels, Claude Opus 4.7 excels at reading complex technical diagrams and executing computer-use automation with pixel-perfect precision. GPTProto provides a stable API gateway to integrate Claude Opus 4.7 without complex credit systems.

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 API Guide: Enhanced Coding and Vision Capabilities

The release of Claude Opus 4.7 marks a turning point for developers who need more than just a chatbot. When you explore all available AI models on GPTProto, you'll see that this specific update targets the core needs of engineering teams: better coding logic, sharper vision, and flexible reasoning speeds. I've spent the last few days testing Claude Opus 4.7 against complex codebases, and the difference in how it handles long-tail technical tasks is striking.

Claude Opus 4.7 Coding Performance That Outshines Later Versions

One of the most impressive stats coming out of the latest benchmarks is that Claude Opus 4.7 solves three times as many production tasks on the Rakuten-SWE-Bench compared to older iterations. It isn't just about writing a single function anymore; Claude Opus 4.7 is designed to act as a full-fledged agent. It can build entire systems from scratch, like a Rust-based text-to-speech engine, while verifying its own work before reporting back. This level of autonomy makes the Claude Opus 4.7 API a top choice for teams looking to automate their DevOps or backend engineering workflows.

The focus has shifted from simple code generation to deep engineering logic. Claude Opus 4.7 follows instructions with much higher accuracy and stays steady during long, multi-step processes. If you are tired of AI models losing the thread halfway through a complex refactor, switching to Claude Opus 4.7 will likely solve those consistency issues. You can track your Claude Opus 4.7 API calls to see how the model handles these extended token sequences in real-time.

"Claude Opus 4.7 is the first model where I feel comfortable letting an AI agent handle multi-file pull requests. The low-inference mode of Claude Opus 4.7 actually performs almost as well as the mid-inference mode of 4.6, which is a massive jump in efficiency."

Why Vision Capabilities in Claude Opus 4.7 Are a Big Deal

Vision is where Claude Opus 4.7 really shows its teeth. It now supports images with a long edge of up to 2576 pixels, which is roughly 3.75 million pixels total. That is three times the resolution of previous models. Why does this matter for your AI projects? Because it allows Claude Opus 4.7 to read high-resolution screenshots with 1:1 pixel coordinate alignment. This is a requirement for advanced computer-use automation where the AI needs to know exactly where a UI element sits on the screen.

In my testing, Claude Opus 4.7 had no trouble deciphering complex chemical structures, dense technical diagrams, and tiny UI details that other models would simply blur together. If your application involves reading charts or technical schematics, the Claude Opus 4.7 vision API is a significant upgrade. To get started with these visual features, you can get started with the Claude Opus 4.7 API through our technical documentation.

What Makes Claude Opus 4.7 Different From Previous Models?

Anthropic introduced a new reasoning tier with this release. Instead of just high and max, we now have 'xhigh' (extra high) reasoning intensity. Think of it as the 'Super-Size' option for intelligence. While the standard modes are great for general chat, xhigh reasoning in Claude Opus 4.7 is meant for those impossible-to-solve logic puzzles and high-stakes system architectures. Below is a comparison of how the Claude Opus 4.7 ecosystem stacks up on the GPTProto platform.

Feature	Claude Opus 4.6	Claude Opus 4.7
Max Image Resolution	~1.2M Pixels	3.75M Pixels (2576px)
Coding Benchmarks	Standard	3x Production Task Solving
Reasoning Tiers	Low, Mid, High, Max	Adds XHigh Intensity
Safety Protocol	Standard	Project Glasswing (Advanced)
Input Cost (Per 1M)	$5	$5

How to Get the Best Results From the Claude Opus 4.7 API

To maximize your output quality, you should utilize the new /ultrareview command if you're using tools like Claude Code. This command in Claude Opus 4.7 is specifically tuned to catch bugs and architectural design flaws that standard linter tools might miss. Also, because Claude Opus 4.7 is more 'tasteful' and creative, it excels at generating UI mockups and presentation slides that actually look professional rather than generic. To maintain a steady workflow without interruptions, you can manage your API billing and ensure you have enough balance for these high-token reasoning tasks.

Don't forget that Claude Opus 4.7 is the first model to launch with the new Project Glasswing safeguards. This means it is safer than previous versions without sacrificing the raw intelligence found in the Mythos preview models. It's a balance of high-end performance and enterprise-grade safety that is hard to find elsewhere in the AI market. You can learn more on the GPTProto tech blog about how these safety features affect daily API usage.

Why Developers Choose Claude Opus 4.7 on GPTProto

Integrating Claude Opus 4.7 through GPTProto means you get the best of both worlds: Anthropic's top-tier intelligence and our stable, high-availability infrastructure. We offer a simple pay-as-you-go model that avoids the headache of monthly subscriptions. Whether you are building an AI-powered image tool or a complex coding assistant, Claude Opus 4.7 provides the reliability you need. Plus, you can earn commissions by referring friends to the platform, making it even more cost-effective to run your AI operations. Keep an eye on our latest AI industry updates to see when new reasoning features or vision updates for Claude Opus 4.7 are rolled out.

Claude Opus 4.7 FAQ

Common questions about the features, pricing, and integration of Claude Opus 4.7.

What is Claude Opus 4.7 and how does it differ from 4.6?

Claude Opus 4.7 is the latest high-end model from Anthropic, offering 3x better performance in production coding tasks and a new 2576-pixel vision resolution compared to Claude Opus 4.6. It also introduces the xhigh reasoning intensity tier for more complex logic.

How much does the Claude Opus 4.7 API cost on GPTProto?

The pricing for Claude Opus 4.7 remains identical to previous Opus versions, at $5 per million input tokens and $25 per million output tokens, allowing for a high-performance upgrade at the same cost.

What is the new vision resolution in Claude Opus 4.7?

Claude Opus 4.7 supports images up to 2576 pixels on the long edge, totaling about 3.75 million pixels. This allows the model to see fine details in technical drawings and UI screenshots with high accuracy.

How do I use the xhigh reasoning mode in Claude Opus 4.7?

You can select the reasoning intensity when making an API call to Claude Opus 4.7. The xhigh tier is specifically optimized for tasks that require the highest level of logical consistency and multi-step planning.

Does Claude Opus 4.7 support computer-use automation?

Yes, because of its high-resolution vision and 1:1 pixel coordinate alignment, Claude Opus 4.7 is exceptionally well-suited for computer-use tasks that require the AI to interact with software interfaces.

Is Claude Opus 4.7 safer than previous AI models?

Yes, Claude Opus 4.7 is the first model integrated with the Project Glasswing safety framework, which includes advanced safeguards against system vulnerabilities and misuse.

What is the SWE-Bench score for Claude Opus 4.7?

In the Rakuten-SWE-Bench tests, Claude Opus 4.7 solved three times more production tasks than previous versions, proving its strength as an autonomous coding agent.

Can Claude Opus 4.7 build a full software system?

Absolutely. Claude Opus 4.7 has demonstrated the ability to build complex systems, such as a Rust-based text-to-speech engine, by handling multi-file structures and self-verifying its code.

How does Claude Opus 4.7 improve UI and PPT creation?

Anthropic has tuned Claude Opus 4.7 to be more 'tasteful' and creative, meaning it generates more aesthetically pleasing UI designs and better-structured document layouts than older models.

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

The /ultrareview command is a feature in Claude Code powered by Claude Opus 4.7 that allows the AI to perform a deep audit of your code, identifying bugs and design issues more effectively.

Does GPTProto offer a stable connection for Claude Opus 4.7?

Yes, GPTProto provides a high-uptime API gateway specifically optimized for Claude Opus 4.7, ensuring that your production applications stay online without rate-limit issues.

How do I monitor my usage of the Claude Opus 4.7 API?

You can visit the GPTProto dashboard to view real-time logs and consumption metrics for all your Claude Opus 4.7 requests, helping you manage costs efficiently.

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 API Guide: Enhanced Coding and Vision Capabilities

Claude Opus 4.7 Coding Performance That Outshines Later Versions

Why Vision Capabilities in Claude Opus 4.7 Are a Big Deal

What Makes Claude Opus 4.7 Different From Previous Models?

How to Get the Best Results From the Claude Opus 4.7 API

Why Developers Choose Claude Opus 4.7 on GPTProto

What is Claude Opus 4.7 and how does it differ from 4.6?

How much does the Claude Opus 4.7 API cost on GPTProto?

What is the new vision resolution in Claude Opus 4.7?

How do I use the xhigh reasoning mode in Claude Opus 4.7?

Does Claude Opus 4.7 support computer-use automation?

Is Claude Opus 4.7 safer than previous AI models?

What is the SWE-Bench score for Claude Opus 4.7?

Can Claude Opus 4.7 build a full software system?

How does Claude Opus 4.7 improve UI and PPT creation?

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

Does GPTProto offer a stable connection for Claude Opus 4.7?

How do I monitor my usage of the Claude Opus 4.7 API?

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