OpenAI: GPT-4o-mini
Analysis Summary
GPT-4o-mini is OpenAI's efficient multimodal model, supporting vision, tool use, function calling, and file input with a 128K context window. Benchmark scores are meaningful for its price tier, with solid MMLU Pro and instruction-following results. It sits well above basic small models in reasoning capability while remaining very affordable.
For businesses, it is well suited to high-volume workflows where cost efficiency matters: content generation, SEO tasks, structured output, customer support automation, and lightweight agentic pipelines. The combination of vision and function calling at this price point makes it particularly versatile for teams needing multimodal capability without flagship costs.
At $0.15 input and $0.60 output per million tokens, it offers one of the strongest price-to-capability ratios among models with verified benchmarks. It is a strong default for cost-sensitive production deployments and a reliable workhorse for agencies running high-volume content or automation pipelines.
Assessed June 30, 2026
Editorial notes
GPT-4o-mini from OpenAI delivers strong instruction following, vision, tool use, and function calling at very low cost, making it one of the best value options for high-volume business workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: GPT-4o-mini compares
OpenAI: GPT-4o-mini ranks #285 of 385 AI models we track for overall intelligence, #117 of 139 for coding. Its 128K-token context window is larger than 43% of the models we list. At $0.15 per million input tokens it is cheaper than 57% of comparable models.
About OpenAI: GPT-4o-mini
GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-4o-mini stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about OpenAI: GPT-4o-mini
How much does OpenAI: GPT-4o-mini cost?
OpenAI: GPT-4o-mini costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of OpenAI: GPT-4o-mini?
OpenAI: GPT-4o-mini has a context window of 128,000 tokens (128K).
Is OpenAI: GPT-4o-mini good for coding?
On our coding benchmark index, OpenAI: GPT-4o-mini ranks #117 of 139 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4o-mini do?
OpenAI: GPT-4o-mini supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4o-mini?
OpenAI: GPT-4o-mini is developed by OpenAI and was released on July 18, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: July 2, 2026 8:38 pm