OpenAI
GPT-6.1 Sol
gpt-6.1-sol
Total Context
1.1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
GPT-5.4 Mini
gpt-5.4-miniGPT-5.4 Mini is the smaller and faster member of the GPT-5.4 family. OpenAI documentation positions mini models for lower-latency workloads while retaining coding, tool use, multimodal reasoning, and strong instruction following. It is a good fit for well-scoped production tasks, subagents, and applications that need many fast calls.
Context Window
400K tokens
Maximum Output
128K tokens
Release Date
Mar 17, 2026
Modalities
GPT-5.4 Mini Pricing
这是价格描述
GPT-5.4 Mini API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
2025-08-31
Endpoint Protocols
Completions API
GPT-5.4 Mini Model Highlights
GPT-5.4 Mini brings configurable reasoning, coding and visual computer-work capabilities to faster, high-volume workloads.
Efficient High-Volume Reasoning
Retains GPT-5.4-class reasoning in a faster, more efficient model intended for large numbers of production requests.
Compact Coding Capability
Handles code generation, analysis and multi-file modifications while targeting lower-latency development workflows.
Visual Computer Reasoning
Understands screenshots and interface state to reason about actions in browser and desktop environments.
GPT-5.4 Mini Use Cases
GPT-5.4 Mini fits high-volume coding assistance, visual computer automation and delegated Agent tasks that benefit from faster execution.
High-Volume Code Assistance
Handles frequent code-generation, explanation and review requests across developer tools while maintaining practical response times.
Interface Automation
Interprets interface screenshots, follows application state and completes repeatable multi-step browser or desktop tasks.
Delegated Agent Subtasks
Executes bounded research, coding or analysis assignments within a larger workflow and returns structured results to the coordinating Agent.
How to Use GPT-5.4 Mini via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)GPT-5.4 Mini Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 40 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 51.5 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 87.5% |
| HLE | Broad expert-level exam set | 26.6% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 49.9% |
| Terminal-Bench Hard | Hard terminal task execution | 52.3% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 73.3% |
| AA-LCR | Long-context reasoning | 69.3% |
| τ²-Bench | Agent workflow tasks | 83.3% |
Metrics sourced from Artificial Analysis
GPT-5.4 Mini FAQ
GPT-5.4 Mini: capabilities, use cases, limits, and TokenHub guidance.
How is GPT-5.4 Mini positioned?+
GPT-5.4 Mini is a OpenAI model for fast, efficient coding, tool use, and multimodal work.
Where does GPT-5.4 Mini add value?+
Best for routine coding assistance, tool-heavy automation and image and video understanding, especially when speed and cost efficiency is the priority.
What is GPT-5.4 Mini's practical edge?+
Key strength: strong coding and tool use with substantially lower latency and cost.
Which constraint matters most?+
It trades some peak quality for better speed or cost. For maximum answer quality, consider GPT-5.4.
How do I integrate GPT-5.4 Mini safely?+
Use the exact ID shown by TokenHub; follow your account docs and verify current features.
Ready to use GPT-5.4 Mini?
Use one API key to access GPT-5.4 Mini and more AI models through TokenHub.
Media and Discussions
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