GPT-5.2 Codex
OpenAI's specialized agentic coding model — long-horizon software engineering, cybersecurity, and tool use with a 256K context window.
Get API key- Provider
- OpenAI
- Price
- $2.19 in · $17.50 out / 1M
- Context window
- 256K tokens
- Released
- December 18, 2025
- License
- Proprietary
What is GPT-5.2 Codex?
GPT-5.2 Codex is OpenAI's specialized coding model, released in December 2025. Optimized for agentic software engineering, it handles long-horizon tasks like refactors and migrations, supports vision and tool use, and features enhanced defensive cybersecurity capabilities — all with a 256K token context window.
Use it privately on Venice
On Venice, GPT-5.2 Codex runs under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. You get the same agentic coding, vision, reasoning, and web-search capabilities OpenAI ships, but with zero retention and no Big-Tech surveillance. It is a closed, proprietary model, so you cannot self-host it, yet Venice lets you use it permissionlessly without an OpenAI account.
What can it do?
- •Agentic coding specialist with long-horizon context compaction for large refactors, migrations, and repository-wide changes.
- •Strong defensive cybersecurity capabilities evaluated under OpenAI's Preparedness Framework, useful for vulnerability research and hardening.
- •Supports vision, tool use / function calling, reasoning, web search, structured JSON output, and multiple image inputs.
- •256K token context window and 65,536 token max output let it ingest large codebases and generate substantial blocks in one pass.
- •Improved performance in Windows environments and agent sandboxing for safer autonomous execution.
- •Closed and proprietary — no open weights, so you cannot self-host, audit, or fine-tune it independently.
- •Premium output pricing ($17.50/1M tokens) rewards high-value, low-volume agentic tasks; continuous autonomous agents can get expensive.
- •Not uncensored — carries OpenAI's safety training and refusal patterns for harmful tasks and prompt injections.
- •Specialized scope means general-purpose creative writing, open-ended chat, or non-technical tasks are better served by generalist models.
GPT-5.2 Codex capabilities
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
How to use it via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call openai-gpt-52-codex.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai-gpt-52-codex",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Specifications
Pricing
Billed per token on Venice: $2.19 per 1M input tokens and $17.50 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
GPT-5.2 Codex vs alternatives
| Model | Context window | Best for | Open weights | Price (Venice) |
|---|---|---|---|---|
| GPT-5.2 Codex | 256K tokens | Agentic coding & cybersecurity | No | $2.19 in · $17.50 out / 1M |
| Claude Sonnet 4.6 | 1M tokens | General reasoning & coding | No | $3.60 in · $18 out / 1M |
| DeepSeek V3.2 | 160K tokens | Budget coding & chat | Yes | $0.33 in · $0.48 out / 1M |
| Kimi K2.6 | 256K tokens | Open long-context coding | Yes | $0.75 in · $3.50 out / 1M |
The specialized coding variant of GPT-5.2 with vision, reasoning, and tool use.
What is it good for?
- •Autonomous coding agents that plan, refactor, and migrate across multi-file repositories.
- •Defensive cybersecurity analysis, code review, and vulnerability triage pipelines.
- •Large-scale debugging workflows that combine code context with screenshots or diagrams via vision input.
- •Tool-calling agent loops that generate code, run tests, search the web, and return structured JSON results.
- •Windows-native development and enterprise software engineering with long-context dependency analysis.
Prompting tips
- •Use structured JSON schema output for deterministic tool responses and reliable agent loop parsing.
- •Feed entire directories or large diffs in one prompt to exploit the 256K context window for holistic repository reasoning.
- •Explicitly define reasoning effort and agent loop boundaries to avoid runaway token costs on expensive output pricing.
- •For Windows-specific code, state the target environment explicitly — the model is tuned for improved Windows performance.
Version history
Predecessor with agentic coding capabilities.
CurrentCurrent — context compaction, cybersecurity, Windows performance.
Frequently asked questions
GPT-5.2 Codex is OpenAI's specialized agentic coding model, released in December 2025. Built on GPT-5.2, it is optimized for long-horizon software engineering, large-scale refactors, defensive cybersecurity, and tool-driven coding workflows.
On Venice, GPT-5.2 Codex costs $2.19 per 1M input tokens and $17.50 per 1M output tokens. Cached input is billed at $0.22 per 1M tokens. You pay only for what you use with no subscription required.
No. GPT-5.2 Codex is a proprietary closed-weight model from OpenAI. It cannot be self-hosted or fine-tuned by end users. If you need open-source weights, DeepSeek V3.2 or Kimi K2.6 are available on Venice.
Yes. On Venice, GPT-5.2 Codex supports function calling, structured JSON output, reasoning, web search, vision, and multiple image inputs — enabling complex agentic loops that call tools, browse the web, and process images.
GPT-5.2 Codex is purpose-built for agentic coding and cybersecurity with a 256K context window. Claude Sonnet 4.6 offers a 1M-token context and strong reasoning, making it ideal for very large codebases or multimodal agents. Choose Codex for specialized coding agents and Sonnet for broader reasoning tasks.
Venice offers free trial credits for new accounts, so you can test GPT-5.2 Codex without a credit card. After the trial, usage is billed per token in credits.
GPT-5.2 Codex supports a 256K-token context window and a max output of 65,536 tokens on Venice, allowing it to hold large repositories and generate substantial code blocks in a single pass.
Yes. Venice runs GPT-5.2 Codex under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. There is zero retention of your conversation history tied to this model.
Related models
Run GPT-5.2 Codex privately.
No prompt logging. No data used for training. Free to start — no credit card.
