GPT-5.4
OpenAI's frontier professional model — 1M context, configurable reasoning, and multimodal agentic capabilities with vision and tool use.
Overview
What is GPT-5.4
GPT-5.4 is OpenAI's frontier text model released in March 2026, merging advanced reasoning, coding, and agentic tool-use capabilities. It supports up to 1 million tokens of context, vision and multiple image inputs, plus configurable reasoning effort for complex professional workflows.
Running it privately on Venice
On Venice, GPT-5.4 runs under an anonymized privacy tier with zero retention of your prompts — no training data harvesting, no profile building. You get the full frontier model with vision, reasoning, web search, and tool use, billed per token without a subscription. It is the same professional-grade model OpenAI ships, used permissionlessly and privately.
Assessment
Strengths and limitations
- Multimodal frontier model supporting vision, multiple image inputs, reasoning, web search, and tool use for agentic workflows.
- Configurable reasoning effort (none, low, medium, high, xhigh) lets you trade latency for depth on complex tasks.
- Strong coding and professional-task performance for software environments and structured output.
- 1M-token context window supports large-scale document and codebase analysis.
- Structured JSON output and function calling enable reliable multi-step automation.
- Closed and proprietary: no open weights, self-hosting, or fine-tuning possible.
- Inherits OpenAI's content policies and refusal patterns; not an uncensored model.
- Very long-context reliability weakens in practice past a few hundred thousand tokens, so the full 1M window is better treated as workspace than perfect long-horizon memory.
- Output pricing is significantly higher than open-weight rivals such as DeepSeek V3.2 or GLM 5.1.
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
- Transformer (decoder-only)
- Parameters
- Not disclosed
- Knowledge cutoff
- August 31, 2025
- Open weights
- No — proprietary
- Context window
- 1,000K tokens
- Max output
- 131.072K 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",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
Billed per token on Venice: $3.13 per 1M input tokens and $18.80 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 | Key strength | Open weights | Price (Venice) |
|---|---|---|---|---|---|
| GPT-5.4 | OpenAI's most capable efficient frontier model for professional agentic work, with configurable reasoning and strong coding performance. | 1M tokens | Coding, reasoning & tool use | No | $3.13 / $18.80 |
| Claude Opus 4.7 | Anthropic's deepest reasoner; slower and significantly more expensive, but excels at nuanced analysis and safety-critical tasks. | 1M tokens | Deep reasoning & safety | No | $6 / $30 |
| DeepSeek V3.2 | Best price-to-performance for open-weight workloads; context window is much smaller, limiting large-scale agentic tasks. | 160K tokens | Open weights & low cost | Yes | $0.33 / $0.48 |
| Grok 4.3 | Strong real-time search and conversational speed at mid-range pricing; a closed alternative with a similarly large context window. | 1M tokens | Real-time web & speed | No | $1.42 / $2.83 |
OpenAI's most capable efficient frontier model for professional agentic work, with configurable reasoning and strong coding performance.
Use cases
What it is good for
- 01Complex software development and coding agents with tool use.
- 02Multi-step research combining web search, reasoning, and structured output.
- 03Document and spreadsheet analysis with vision input and multiple image attachments.
- 04Automated workflows across APIs and tools via function calling.
- 05Professional writing and analysis requiring configurable reasoning depth.
Prompting
Getting better results
Set reasoning_effort to 'low' or 'none' for quick answers, and 'high' or 'xhigh' for deep analysis and coding.
Use the large context window for codebase or document batches, but verify key facts near the end of very long inputs.
Leverage function calling and web search for agentic workflows rather than relying on single-turn prompts.
Be explicit about tool sequences and desired structured outputs to reduce back-and-forth.
Version history
Predecessor generalist frontier model.
Current — adds configurable reasoning, tool use, and 1M context.
Smaller, faster variant available to free-tier users on OpenAI.
FAQ
Frequently asked questions
GPT-5.4 is OpenAI's frontier text model released in March 2026. It merges advanced reasoning, coding, and agentic tool-use capabilities, supports vision and structured output, and offers a 1M-token context window with configurable reasoning effort.
Venice bills GPT-5.4 at $3.13 per 1M input tokens and $18.80 per 1M output tokens, with cached input at $0.31 per 1M. You pay per token with no subscription required.
No. GPT-5.4 is proprietary closed-source software from OpenAI. Its weights are not available for download or self-hosting. Open-weight alternatives on Venice include DeepSeek V3.2 and Kimi K2.6.
Yes. On Venice, GPT-5.4 supports function calling, tool use, web search, and structured JSON output, making it suitable for agentic workflows and multi-step automation.
Its training knowledge cutoff is August 31, 2025. For events after that date, you can pair it with Venice's web search capability to retrieve current information.
GPT-5.4 is generally more affordable and stronger at coding, tool-use agents, and deep web research. Claude Opus 4.7 tends to excel at nuanced reasoning and safety-critical analysis, but costs significantly more on Venice. Choose GPT-5.4 for agentic coding and Opus for deep analytical review.
No. GPT-5.4 retains OpenAI's built-in safety filters and refusal behaviors. Venice does not modify the model weights, so you get the standard OpenAI policy envelope. For uncensored outputs, explore open-weight models on Venice.
Venice runs GPT-5.4 under an anonymized privacy tier with zero retention — your prompts are not stored, profiled, or used for training. You use the same frontier model OpenAI ships, but without linking queries to a personal account history.
Run GPT-5.4 privately
No prompt logging. No data used for training.