GPT-5.2
OpenAI's flagship reasoning model for professional knowledge work, coding, and agentic tasks with tool use and web search.
Overview
What is GPT-5.2
GPT-5.2 is OpenAI's flagship reasoning model released in December 2025, designed for professional knowledge work, coding, and agentic tasks. It features advanced tool use, web search, and structured JSON output, with strong performance on reasoning and software-engineering benchmarks. It is a proprietary, closed-weights model accessible via API.
Running it privately on Venice
On Venice, GPT-5.2 runs under an anonymized privacy tier with zero prompt retention — your inputs are not stored, profiled, or used for training. You get the full frontier model with tool use, reasoning, and web-search capabilities, but without the surveillance stack. It is not open-source and carries OpenAI's standard safety filters, so it is not uncensored.
Assessment
Strengths and limitations
- State-of-the-art reasoning and coding performance, with strong official results on SWE-bench Verified, AIME 2025, and GDPval knowledge-work tasks.
- Native tool use, function calling, and structured JSON output for building agents and automated workflows.
- Built-in web search capability for retrieving current information beyond its training cutoff.
- Long context window (256K tokens on Venice) supporting large documents and multi-step projects.
- Three tiers: Instant, Thinking, and Pro — let you trade speed for reasoning depth depending on the task.
- Closed and proprietary: no open weights, so you cannot self-host, audit, or fine-tune the model.
- Not uncensored: it carries OpenAI's safety filters and may refuse certain requests.
- Premium output pricing makes high-volume generation expensive compared to open-weight rivals.
- No end-to-end encryption or TEE execution on Venice; privacy relies on anonymized zero-retention processing.
- Reasoning and tool-use calls add latency compared to smaller, simpler models.
Capabilities
What it supports
- 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
Specifications
Datasheet
- Maker
- OpenAI
- Released
- December 11, 2025
- Architecture
- Proprietary; details not disclosed
- Parameters
- Not disclosed
- Open weights
- No — proprietary
- Context window
- 256K tokens
- Max output
- 65.536K tokens
- Capabilities
- Function calling, Reasoning, Web search
- Privacy on Venice
- Anonymized — prompts not stored
- Available on Venice since
- Dec 2025
API
Call it from your code
Venice exposes an OpenAI-compatible API. Point your base URL at Venice and pass the model id.
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",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
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.
Alternatives
How it compares
| Model | Best for | Context window | Input / 1M | Output / 1M | Open weights |
|---|---|---|---|---|---|
| GPT-5.2 | Flagship reasoning with tool use, web search, and structured output. | 256K tokens | $2.19 in · $17.50 out / 1M | $17.50 | No |
| Claude Opus 4.8 | Anthropic's top-tier model with a 1M context; higher per-token cost but strongest on extremely long documents. | 1M tokens | $6 in · $30 out / 1M | $30 | No |
| DeepSeek V3.2 | Open-weights rival with dramatically lower pricing; ideal for cost-sensitive automation and self-hosting. | 160K tokens | $0.33 in · $0.48 out / 1M | $0.48 | Yes |
| Kimi K2.6 | Open-weights alternative with the same context size and far lower output pricing; strong for long-document processing. | 256K tokens | $0.75 in · $3.50 out / 1M | $3.50 | Yes |
Flagship reasoning with tool use, web search, and structured output.
Use cases
What it is good for
- 01Complex software engineering, code review, and agentic coding loops.
- 02Multi-step research and report generation with web search and structured citations.
- 03Structured data extraction and API orchestration using JSON schema and function calling.
- 04Long-document analysis and summarization within a 256K-token context.
- 05Enterprise knowledge-work automation where reasoning quality matters more than raw speed.
Prompting
Getting better results
Use the Thinking or Pro tiers for multi-step coding and math problems; use Instant for quick drafts and chat.
Provide explicit tool schemas and descriptions — GPT-5.2 follows structured function calling reliably.
Break long documents into clear sections or headers to improve retrieval and reasoning within the context window.
For web-grounded answers, explicitly ask it to search and cite sources before synthesizing.
Version history
Base model family launch.
Intermediate update with improved reasoning.
Current flagship with tool use, web search, and agentic capabilities.
FAQ
Frequently asked questions
GPT-5.2 is OpenAI's flagship text model released in December 2025, built for professional knowledge work, coding, and agentic tasks. It offers tool use, reasoning, web search, and structured output across three tiers: Instant, Thinking, and Pro.
Venice bills per token at $2.19 per 1M input tokens and $17.50 per 1M output tokens. Cached input is discounted to $0.22 per 1M tokens. There is no subscription required.
GPT-5.2 is not free or open source. It is a proprietary, closed-weights model from OpenAI. You access it through Venice's API or app, paying only for the tokens you use.
Yes. On Venice, GPT-5.2 supports function calling, structured JSON output, reasoning, and web search, making it suitable for building agents and automated workflows.
GPT-5.2 offers stronger reasoning and coding benchmarks at a lower per-token price, while Claude Opus 4.8 provides a 1M-token context window. Choose Opus for extremely long documents; choose GPT-5.2 for agentic coding and tool use.
GPT-5.2 on Venice supports a 256K-token context window and up to 65,536 tokens of output per request.
Yes. Venice runs GPT-5.2 under an anonymized privacy tier with zero prompt storage. Your inputs are not retained, profiled, or used for training, though the session is not end-to-end encrypted.
Instant is optimized for speed and everyday tasks; Thinking adds deeper multi-step reasoning for coding and agents; Pro deploys the most inference-time compute for the hardest technical and analytical problems.
Run GPT-5.2 privately
No prompt logging. No data used for training.