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  2. /Model
  3. /OpenAI
  4. /gpt-5.3-codex / web-search
OpenAI
GPT 5.3 Codex
$ 
gpt-5.3-codex/web-search represents the pinnacle of agentic intelligence, merging deep technical reasoning with live internet access. Designed for developers and researchers who cannot afford to work with stale data, gpt-5.3-codex/web-search on GPT Proto allows for real-time library documentation retrieval, live debugging of trending frameworks, and comprehensive technical audits. By utilizing the Responses API, this model goes beyond simple retrieval, performing multi-step search actions including 'open_page' and 'find_in_page' to ensure pinpoint accuracy in every citation. Experience the next evolution of Codex-enhanced search today.

Modalities

Input: TextInput: ImageInput: 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": "gpt-5.3-codex",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'
GPT 5.3 Codex pricing

Estimate a request with real work scenarios. GPTProto token pricing is 30% below official rates.

UsageQuantityRateCost
tokens
$1.225/1M$0.0018
tokens
$9.8/1M$0.0078
tokens
$0.1225/1M$0.0003
tokens
$0.1225/1M$0.003
Cost per request$0.0131
Requests
Top-up amount

Top-up $100 and you get:

1.

Top-up credits with permanent validity. You will receive a total of $100.00.

2.

Additional 30% model discount, saving $42.853 versus direct official OpenAI API calls.

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byClaude1M context$9/M input$45/M output
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byQwen$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
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byDeepSeek1.05M context$0.44/M input$1.32/M output
GLM 5.3
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byZ-AI1.31M context$1.26/M input$3.96/M output
Gemini 3.7 Flash
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byGoogle1.05M context$0.9/M input$4.5/M output
Grok 4.6
$ 
byGrok500K context$1.2/M input$3.6/M output
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byQwen1M context$1.8/M input$5.4/M output
Claude Opus 5
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byClaude1M context$4.5/M input$22.5/M output
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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
GPT 5.6 Terra
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byOpenAI1.05M context$1.6/M input$9.6/M output
GPT 5.6 Sol
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byOpenAI1.05M context$3.2/M input$16/M output
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byGrok500K context$1.2/M input$3.6/M output
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byMiniMax1.05M context$0.48/M input$0.96/M output
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byZ-AI1.05M context$1.26/M input$3.96/M output
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byDeepSeek1.05M context$0.44/M input$1.32/M output
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Doubao Seed 1.6 Thinking (Build 250615)
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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
GPT 5.3 CodexCurrent
$ 
400K$1.23 / $9.80 per 1M$0.12 / $0.12 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
$ 
—$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
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—1.05M$0.44 / $1.32 per 1M— / $0.01 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— / $0.30 per 1M
Input: TextInput: Image
Output: Text
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$ 
1M$1.80 / $5.40 per 1M$2.25 / $0.23 per 1M
Input: TextInput: ImageInput: VideoInput: Document
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1M$4.50 / $22.50 per 1M$5.63 / $0.45 per 1M
Input: TextInput: ImageInput: Document
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1.05M$0.90 / $4.50 per 1M$0.60 / $0.09 per 1M
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1.05M$2.70 / $13.50 per 1M$0.27 / $0.27 per 1M
Input: TextInput: ImageInput: Document
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1.05M$0.16 / $0.96 per 1M$0.20 / $0.02 per 1M
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1.05M$1.60 / $9.60 per 1M$2.00 / $0.16 per 1M
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1.05M$3.20 / $16.00 per 1M$4.00 / $0.32 per 1M
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500K$1.20 / $3.60 per 1M$0.30 / $0.30 per 1M
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1M$1.80 / $9.00 per 1M$2.25 / $0.18 per 1M
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1.05M$0.48 / $0.96 per 1M$0.10 / $0.10 per 1M
Input: TextInput: ImageInput: Document
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1.05M$1.26 / $3.96 per 1M$0.23 / $0.23 per 1M
Input: TextInput: ImageInput: Document
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$ 
—$1.00 / $8.00 per 1M$0.10 / $0.10 per 1M
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1M$0.36 / $1.44 per 1M$0.07 / $0.07 per 1M
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—1.05M$0.44 / $1.32 per 1M— / $0.01 per 1M
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—1.05M$1.32 / $3.96 per 1M— / $0.04 per 1M
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1.05M$24.00 / $144.00 per 1M—
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1.05M$24.00 / $144.00 per 1M—
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262K$0.85 / $3.60 per 1M$0.14 / $0.14 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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Doubao Seed 1.6 Thinking (Build 250715)
$ 
262K$0.10 / $0.97 per 1M—
Input: TextInput: Image
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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
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Next-Generation Technical Intelligence: gpt-5.3-codex/web-search

The gap between a model's training cutoff and today's innovation has finally closed. With gpt-5.3-codex/web-search available on GPT Proto, developers can now leverage the world's most advanced reasoning engine with direct, real-time access to the live web. Start building with gpt-5.3-codex/web-search today.

Solving the 'Stale Knowledge' Crisis in Software Engineering

For years, AI-assisted coding was limited by the 'training cutoff.' If a framework like Next.js or a library like LangChain updated its API yesterday, standard models would provide hallucinated, deprecated code. The gpt-5.3-codex/web-search model eliminates this pain point by treating the internet as a live extension of its 128k context window. By invoking the web_search tool, the model doesn't just guess; it verifies against the latest official documentation and GitHub repositories before generating a single line of code.

High-Fidelity Debugging for Modern Frameworks

Using gpt-5.3-codex/web-search on GPT Proto allows for an 'agentic' search flow. Unlike traditional search tools that return a list of links, this model can read through multiple pages, compare versioning notes, and identify precisely why your current implementation is failing against a 24-hour-old patch. Our experience shows that for DevOps and Frontend Engineers, gpt-5.3-codex/web-search reduces time-to-fix by over 60% compared to static LLMs.

Deep Research & Vulnerability Analysis

Security researchers utilize gpt-5.3-codex/web-search to track emerging CVEs (Common Vulnerabilities and Exposures) in real-time. The model's ability to perform 'deep research' means it can cross-reference hundreds of sources, from security blogs to live exploit databases, providing a synthesized report with verified citations. This makes gpt-5.3-codex/web-search an indispensable tool for proactive cybersecurity defense.

"The integration of live web access with a Codex-tuned reasoning core in gpt-5.3-codex/web-search effectively bridges the gap between static intelligence and dynamic reality. It is the first model that feels truly 'current' in a fast-moving production environment."

Why Deploy gpt-5.3-codex/web-search on GPT Proto?

GPT Proto provides the infrastructure necessary to run gpt-5.3-codex/web-search at scale without latency bottlenecks. Our platform ensures that search calls are executed with maximum priority, utilizing advanced 'domain filtering' to restrict searches to high-authority technical sites if desired. Furthermore, we offer a developer-first environment with a robust documentation portal for seamless API integration.

Feature Standard Models gpt-5.3-codex/web-search (GPT Proto)
Knowledge Cutoff Fixed / 2023-2024 Real-time / Live Web
Context Window Variable (32k-128k) 128k with Deep Retrieval
Reasoning Mode Basic Chain-of-Thought Agentic Search & Page Discovery
Citation Quality None or Simulated Verified URL Annotations
Billing Model Opaque Credits Transparent Top-up Balance

Transparent Billing & Unlimited Potential

At GPT Proto, we believe in transparency. We have eliminated the confusing concept of 'credits.' To use gpt-5.3-codex/web-search, simply visit our Billing Center to Top-up Balance or Add Funds. You only pay for what you use, with clear per-token and per-search call pricing visible on your Dashboard. This straightforward approach allows teams to budget for gpt-5.3-codex/web-search usage without hidden multipliers.

The era of static AI is over. By combining the legendary coding logic of Codex with the vastness of the live web, gpt-5.3-codex/web-search stands alone as the ultimate tool for the modern technical professional. Learn more about our latest updates on the GPT Proto Blog.

Everything You Need to Know About gpt-5.3-codex/web-search

Common inquiries regarding the deployment, billing, and capabilities of gpt-5.3-codex/web-search on our platform.

What makes gpt-5.3-codex/web-search different from standard GPT-4 search?

The gpt-5.3-codex/web-search model is specifically fine-tuned for technical reasoning and code generation. While standard models provide general search, gpt-5.3-codex/web-search can interpret complex API documentation and implement them directly into your codebase with live accuracy.

How do I Add Funds to start using gpt-5.3-codex/web-search?

You can Add Funds by visiting the Billing Center on GPT Proto. We do not use credits; instead, you maintain a top-up balance that is consumed based on your actual gpt-5.3-codex/web-search usage.

Does gpt-5.3-codex/web-search support domain filtering?

Yes, when using gpt-5.3-codex/web-search via the Responses API, you can limit search results to specific domains like GitHub or StackOverflow to ensure the highest quality of technical data.

What is the context window for gpt-5.3-codex/web-search?

The gpt-5.3-codex/web-search model supports a massive 128,000 token context window, allowing you to feed in large repositories alongside real-time search results.

Can gpt-5.3-codex/web-search perform deep research?

Absolutely. By setting the reasoning effort to 'high,' gpt-5.3-codex/web-search can conduct multi-step deep research, browsing dozens of pages to find answers to complex technical queries.

Are citations provided by gpt-5.3-codex/web-search clickable?

Yes, every response from gpt-5.3-codex/web-search includes url_citation annotations. On GPT Proto, these are formatted to be easily displayed as clickable links in your UI.

Is my data used to train gpt-5.3-codex/web-search?

No. When you use gpt-5.3-codex/web-search on GPT Proto, your inputs and search queries are protected by our Zero Data Retention (ZDR) policies and are not used for model training.

Can I use gpt-5.3-codex/web-search for local SEO research?

Yes, gpt-5.3-codex/web-search supports approximate user location parameters, allowing it to find local technical meetups or region-specific server status updates.

Does gpt-5.3-codex/web-search support 'find_in_page' actions?

Yes, gpt-5.3-codex/web-search can perform specific internal page searches once it identifies a relevant technical manual, ensuring it finds the exact syntax you need.

How do I top-up balance for gpt-5.3-codex/web-search teams?

You can manage team billing in the dashboard. Simply select the amount to Recharge Amount, and the balance will be shared across your team's gpt-5.3-codex/web-search API keys.

Can gpt-5.3-codex/web-search browse behind paywalls?

gpt-5.3-codex/web-search respects robots.txt and standard web protocols. It can access any publicly available documentation but cannot bypass gated content or private repositories without authorization.

What libraries are best for gpt-5.3-codex/web-search integration?

We recommend the official OpenAI Python or Node.js SDKs. On GPT Proto, we provide custom snippets to help you call gpt-5.3-codex/web-search with the web_search tool enabled by default.

Further Reading

Guides, comparisons, and updates related to this model.

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AI Coding Revolution: How GPT-5.3 and Claude 4.6 are Transforming Software Engineering Forever

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