GPT-4o-mini (2024-07-18)
VerifiedFast, affordable multimodal model for text and image tasks.
About GPT-4o-mini (2024-07-18)
GPT-4o-mini is built as a smaller-scale multimodal system from OpenAI. It supports combined text and visual inputs along with file handling while remaining fully proprietary. The architecture emphasizes reduced computational demands compared with larger siblings.
Its strengths lie in balancing capability with speed and cost for everyday workloads. The model processes mixed media reliably without requiring open weights or local hosting. This design suits production environments where latency and pricing matter.
Developers commonly use it for chat interfaces, image analysis, and document summarization. It integrates well into applications needing quick multimodal responses. Typical deployments include customer support tools and content review pipelines.
Capabilities
Benchmarks & performance
Independent evaluation scores and measured speed.
Source: Artificial Analysis
How GPT-4o-mini (2024-07-18) compares
GPT-4o-mini (2024-07-18) (striped bar) vs other multimodal on intelligence, speed and price.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · GPT-4o-mini (2024-07-18) ranks #82 of 88
Speed
Output tokens per second · Higher is better · GPT-4o-mini (2024-07-18) ranks #57 of 76
Price
USD per 1M output tokens · Lower is better · GPT-4o-mini (2024-07-18) ranks #32 of 155
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis with Visuals
Handles extended documents up to 128000 tokens that include images or files, enabling summarization and extraction of insights from reports containing charts or diagrams.
Code Generation and Review
Supports code generation, analysis, and debugging across languages while maintaining context over large codebases or multiple files.
Image Description and Reasoning
Delivers accurate visual reasoning and descriptions for images, supporting tasks like content analysis or accessibility features.
Strengths & limitations
Strengths
- +Fast and cost-efficient responses
- +Good balance of capability and speed
- +Handles mixed text and image inputs effectively
- +Suitable for high-volume or real-time use cases
Limitations
- –Less depth on complex reasoning than larger models
- –No audio or video modality support
- –Can still hallucinate or miss nuances on edge cases
Cost calculator
Estimate what GPT-4o-mini (2024-07-18) would cost for your usage.
Based on GPT-4o-mini (2024-07-18)'s $0.15/1M input · $0.60/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/gpt-4o-mini-2024-07-18",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-4o-mini-2024-07-18
Editor's verdict
GPT-4o-mini (2024-07-18) is OpenAI's proprietary multimodal with a 128K-token context window.
On independent testing it scores 12.6 on the Artificial Analysis Intelligence Index, running at roughly 55 tokens per second with about 1.23s to first token.
At $0.60 per 1M output tokens, it is very cost-efficient for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to fast and cost-efficient responses and good balance of capability and speed.
Frequently asked questions
The model provides a context window of 128000 tokens for processing extended inputs.
User reviews
Real, verified reviews from the community shape this model's rating.
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