GPT o4 Mini
About this model
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
Performance Tier
GPT o4 Mini is a compact model from GPT : optimized for speed and affordability.
Small, fast, and affordable. Optimized for speed and low cost, great for high-volume or simple tasks.
Pricing
This model is included in Elosia plans| Type | per 1M tokens |
|---|---|
| Input (prompt) | $1.10 |
| Output (completion) | $4.40 |
| Cache read | $0.275 |
Capabilities
Benchmarks
Recommended Use Cases
Strengths
- Outstanding mathematical reasoning (MATH-500 97.3%)
- Chain-of-thought reasoning at an affordable price
- Strong competition math performance (AIME 93.4%)
- Good software engineering capabilities for a reasoning model
Limitations
- Slower than standard GPT models due to reasoning overhead
- Less suited for creative or conversational tasks
Resources
This model may use your data for training
