GPT-5.4 Pro
OpenAI's highest-performance frontier model — native computer-use, adjustable reasoning, and 1M context for complex professional work.
Overview
What is GPT-5.4 Pro
GPT-5.4 Pro is OpenAI's highest-performance tier in the GPT-5.4 family, released March 2026. It merges advanced reasoning, native computer-use capabilities, and industry-leading coding performance with a 1M-token context window and 128K max output, designed for complex professional and agentic workflows.
Running it privately on Venice
On Venice, GPT-5.4 Pro runs under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. You get the full frontier model with vision, reasoning, tool use, and web search, but without the surveillance overhead of Big-Tech accounts. Because Venice bills per token in credits, you pay only for what you use with zero retention.
Assessment
Strengths and limitations
- State-of-the-art agentic performance with native computer-use capabilities and top reported benchmark scores on OSWorld-Verified and WebArena Verified.
- Massive 1M-token context window and 128K max output support long-horizon workflows across large codebases, documents, and multi-step agentic tasks.
- Adjustable reasoning effort lets you trade speed for accuracy on complex professional tasks, from deep research to financial modeling.
- Multimodal and tool-rich: accepts vision and multiple image inputs, supports function calling, web search, and structured JSON output.
- Improved factual reliability with markedly fewer errors compared to GPT-5.2, per OpenAI's launch reporting.
- Proprietary and closed weights: cannot be self-hosted or fine-tuned.
- Premium pricing makes it one of the most expensive models on Venice.
- Long-context retrieval weakens toward the end of the window: Graphwalks data shows accuracy falling from 93% at 128K to 21.4% between 256K and 1M, and one independent test found instructions near 850K were missed roughly 40% of the time.
- Not uncensored: maintains standard OpenAI safety alignment and will refuse some requests.
- No TEE or end-to-end encryption on Venice; runs under the anonymized tier only.
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
- March 5, 2026
- Architecture
- Proprietary frontier reasoning model with native computer-use capabilities and adjustable reasoning effort
- Parameters
- Not disclosed
- Open weights
- No — proprietary, API-only
- Context window
- 1,000K tokens
- Max output
- 128K tokens
- Capabilities
- Vision, Function calling, Reasoning, Web search
- Privacy on Venice
- Anonymized — prompts not stored
- Available on Venice since
- Mar 2026
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-54-pro",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
Billed per token on Venice: $37.50 per 1M input tokens and $225 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 | Context window | Open weights | Price (Venice) | Best for |
|---|---|---|---|---|
| GPT-5.4 Pro | 1M tokens | No | $37.50 in · $225 out / 1M | Agentic & computer-use tasks |
| Claude Opus 4.8 | 1M tokens | No | $6 in · $30 out / 1M | Nuanced reasoning & writing |
| DeepSeek V3.2 | 160K tokens | Yes | $0.33 in · $0.48 out / 1M | Open-weight coding & chat |
| Kimi K2.6 | 256K tokens | Yes | $0.75 in · $3.50 out / 1M | Long-context open tasks |
The top-tier choice for native computer-use, complex reasoning, and maximum output length — at a premium price.
Use cases
What it is good for
- 01Complex professional deliverables such as financial models, legal analysis, slide decks, and long-form reports.
- 02Agentic computer-use workflows that operate across software environments, spreadsheets, and applications.
- 03Deep research and synthesis combining web search with multi-document analysis over long contexts.
- 04Large-scale code migration, review, and generation leveraging merged Codex-level coding capabilities.
- 05Vision-enabled automation processing multiple image inputs alongside text for document understanding and UI tasks.
Prompting
Getting better results
Use background mode for high and xhigh reasoning requests to avoid timeouts on long inference runs.
Break long-horizon tasks into chunks under roughly 256K tokens to maintain retrieval accuracy.
Explicitly request the reasoning effort level (medium, high, xhigh) based on task complexity.
Leverage native tool use — web search, computer use, function calling — rather than stuffing raw data into context.
For vision tasks, upload multiple images in a single prompt and specify exactly what to compare or extract.
Version history
Standard reasoning tier with balanced speed and cost.
Current — maximum-performance tier with the highest reasoning effort.
FAQ
Frequently asked questions
GPT-5.4 Pro is OpenAI's highest-performance reasoning model, released in March 2026. It combines advanced reasoning, native computer-use capabilities, and multimodal tool support with a 1M-token context window and 128K max output for complex professional tasks.
On Venice, GPT-5.4 Pro is billed at $37.50 per 1M input tokens and $225 per 1M output tokens. You pay per token via credits with no subscription lock-in.
No. GPT-5.4 Pro is closed and proprietary to OpenAI, with weights available only through the API. It cannot be self-hosted or fine-tuned.
Yes. It supports function calling, web search, structured JSON output, reasoning, and multiple image inputs, making it suitable for agentic and multimodal workflows.
No. GPT-5.4 Pro is not uncensored. It carries standard OpenAI safety alignment and content policies, so it will refuse certain requests that violate those guidelines.
GPT-5.4 Pro leads on agentic computer-use, coding, and maximum output length, but costs significantly more. Claude Opus 4.8 is a strong, cheaper alternative for nuanced reasoning and writing at $6 in / $30 out per 1M tokens.
Yes. Venice runs it under an anonymized privacy tier, meaning your prompts are not stored, profiled, or used for training. You interact with the same frontier model without linking it to a personal history.
GPT-5.4 Pro supports up to 128K tokens in a single response, enabling long-form deliverables like detailed reports, codebases, and multi-step agentic outputs.
While the model accepts 1M tokens of context, independent evaluations suggest accuracy degrades significantly beyond roughly 256K tokens, with instructions near the 850K mark sometimes missed roughly 40% of the time.
Run GPT-5.4 Pro privately
No prompt logging. No data used for training.