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-4o Mini
gpt-4o-miniGPT-4o Mini is the fast and affordable small model in the GPT-4o family. OpenAI docs position it for focused tasks with text and image input, structured outputs, fine-tuning, and distillation workflows. It is best introduced as a lightweight multimodal production model rather than a reduced copy of GPT-4o.
Context Window
128K tokens
Maximum Output
16.4K tokens
Release Date
Jul 18, 2024
Modalities
GPT-4o Mini Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.15/M | $0.6/M | $0.075/M |
GPT-4o Mini API Capabilities
Reasoning
Not supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
2023-09-01
Endpoint Protocols
Completions APIMessages APIgemini
GPT-4o Mini Model Highlights
GPT-4o Mini provides fast, economical text and image understanding for focused tasks and high-volume applications.
Fast Focused Processing
Handles well-defined tasks with response speed and processing economy suited to large numbers of requests.
Compact Vision
Accepts text and image inputs to interpret screenshots, photographs and document pages in a smaller model.
Task Specialization
Can be adapted to focused application behavior, making it useful for repeatable tasks with stable requirements.
GPT-4o Mini Use Cases
GPT-4o Mini fits high-volume intent classification, multilingual text processing and economical visual information extraction.
Intent Classification
Assigns user messages to predefined intents for support routing, workflow selection or analytics.
Multilingual Content Processing
Translates short content, extracts search terms and generates consistent tags across supported languages.
Visual Field Extraction
Extracts requested fields from forms, receipts or document images and returns concise text records.
How to Use GPT-4o 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-4o Mini Benchmarks
GPT-4o mini
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 6.9 |
| Artificial Analysis Math Index | Artificial Analysis math reasoning aggregate | 14.7 |
| Knowledge & Reasoning | ||
| MMLU-Pro | Advanced multi-task knowledge | 64.8% |
| GPQA | Advanced science problem solving | 42.6% |
| HLE | Broad expert-level exam set | 4% |
| Coding & Engineering | ||
| LiveCodeBench | Live coding problems | 23.4% |
| SciCode | Scientific coding challenges | 22.9% |
| Math | ||
| MATH-500 | Advanced math problem solving | 78.9% |
| AIME | Competition math problems | 11.7% |
| AIME 2025 | Competition math problems | 14.7% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 31.0% |
Metrics sourced from Artificial Analysis
Frequently asked questions about GPT-4o Mini
Understand what GPT-4o Mini is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
Where does GPT-4o Mini sit within its provider’s model family?+
GPT-4o Mini is a compact omni model designed for fast, economical text and image workloads. It has been retired from ChatGPT, while API availability may remain; check TokenHub’s current listing.
Which production scenarios suit GPT-4o Mini?+
Best-fit scenarios include customer-support automation, large-scale classification and routing, and analysis of text and visual inputs. Test representative inputs and define measurable acceptance criteria before production.
What makes GPT-4o Mini stand out for large-scale classification and routing?+
Key strengths include fast response times, cost-efficient scaling, and combined text and image understanding. This combination is especially useful for large-scale classification and routing.
What tradeoffs should developers consider with GPT-4o Mini?+
Consider another model when the task requires the provider’s strongest reasoning capability, quality matters more than speed or cost, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
How can a team safely start using GPT-4o Mini on TokenHub?+
In TokenHub, select the exact model identifier displayed for GPT-4o Mini, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the current TokenHub documentation for supported text and image inputs, because platform exposure can differ from the provider’s full model capabilities.
Ready to use GPT-4o Mini?
Use one API key to access GPT-4o Mini and more AI models through TokenHub.
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