GPT-5.4 Mini
OpenAI's fastest, most capable small model — 400K context, vision, tool use, and reasoning for coding and subagents.
Overview
What is GPT-5.4 Mini
GPT-5.4 Mini is OpenAI's fastest and most capable small model, released in March 2026. It delivers GPT-5.4-level coding, vision, and tool-use performance in a smaller, more efficient package with a 400K context window and 128K max output, designed for high-volume workloads and latency-sensitive applications.
Using it anonymously on Venice
On Venice, GPT-5.4 Mini runs under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. You get the same coding, vision, and tool-use capabilities OpenAI ships, but with zero retention and no Big-Tech surveillance. It supports reasoning, web search, structured output, and multiple image inputs, making it a strong private drop-in for agentic and multimodal workloads.
Assessment
Strengths and limitations
- Fast, efficient mini model with 128K max output and native vision, tool use, reasoning, and web search.
- Strong coding performance: approaches GPT-5.4 on SWE-Bench Pro (54.4% vs 57.7%) and runs more than 2x faster than GPT-5 mini.
- Built for high-volume workloads: subagents, computer-use systems, and real-time multimodal apps where latency shapes the product experience.
- Supports adjustable reasoning effort (none through xhigh) and structured JSON output for reliable agentic pipelines.
- Closed and proprietary: no open weights, so you cannot self-host or fine-tune it.
- Not uncensored on Venice; retains standard alignment filters.
- Privacy tier is anonymized, not hardware-isolated (no TEE or end-to-end encryption).
- Context window and peak reasoning trail the full GPT-5.4 (400K vs 1.05M; GPQA Diamond 88.0% vs 93.0%).
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
- Modality
- Text and image input, text output
- Open weights
- No — proprietary
- License
- Proprietary
- Context window
- 400K tokens
- Released
- March 17, 2026
- Knowledge cutoff
- August 31, 2025
- 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-mini",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
Billed per token on Venice: $0.94 per 1M input tokens and $5.63 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 | Best for | Open weights | Price (Venice) |
|---|---|---|---|---|
| GPT-5.4 Mini | 400K tokens | Coding & subagents | No | $0.94 in · $5.63 out / 1M |
| Claude Sonnet 4.6 | 1M tokens | General reasoning & writing | No | $3.60 in · $18 out / 1M |
| DeepSeek V3.2 | 160K tokens | Open weights & bulk tasks | Yes | $0.33 in · $0.48 out / 1M |
| Kimi K2.6 | 256K tokens | Long-context & open weights | Yes | $0.75 in · $3.50 out / 1M |
OpenAI's strongest mini model yet — fast, multimodal, and tool-native.
Use cases
What it is good for
- 01Coding assistants and IDE autocomplete that need responsive, low-latency suggestions.
- 02Agent subagents handling supporting tasks, classification, and data extraction.
- 03Computer-use systems that interpret screenshots and interact with UIs via tool calling.
- 04Real-time multimodal apps that reason over images and text together.
- 05High-volume production workloads where token cost and throughput matter more than absolute frontier accuracy.
Prompting
Getting better results
Set reasoning effort to low or medium for speed, and high or xhigh for complex debugging and planning tasks.
Use vision inputs for screenshots, diagrams, and UI mockups to leverage its multimodal reasoning.
Leverage structured output (JSON schema) when building tool chains or extracting structured data.
Keep context lean — while the window is 400K, latency and cost improve when you send only relevant files and history.
Version history
Initial release — 400K context, 128K output, vision, and tool use.
FAQ
Frequently asked questions
GPT-5.4 Mini is OpenAI's fastest and most capable small model, released in March 2026. It packs GPT-5.4-level coding, vision, reasoning, and tool-use performance into a smaller, more efficient model designed for high-volume workloads and subagents.
Venice bills $0.94 per 1M input tokens and $5.63 per 1M output tokens, with cached input at $0.09 per 1M. You pay per token with no subscription required.
It is not open source. The weights are proprietary to OpenAI. On Venice you pay per token to use it; there is no subscription required.
Yes. It supports function calling, vision (image input), reasoning, web search, structured JSON output, and multiple image inputs — making it suitable for computer-use agents and multimodal workflows.
Use GPT-5.4 Mini when you need lower latency, higher throughput, and lower cost for coding, subagents, and vision tasks. Use the full GPT-5.4 when you need the absolute best reasoning performance and the 1.05M context window.
GPT-5.4 Mini is faster and cheaper with strong coding and tool-use performance. Claude Sonnet 4.6 offers a 1M-token context window and is often preferred for long-document analysis and careful writing. Choose Mini for speed and cost; Sonnet for long-context nuance.
Venice runs it under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. However, it does not run inside a TEE or use end-to-end encryption, so it is anonymized but not hardware-isolated.
It can generate up to 128,000 tokens in a single response, and it supports a 400,000-token context window.
Yes. You can set reasoning effort to none (default), low, medium, high, or xhigh, letting you trade speed and token cost against depth of reasoning.
Use GPT-5.4 Mini anonymously
Venice does not store your prompts. Chat history stays in your browser.