The OpenAI o3-mini is a high-speed, cost-effective reasoning model designed for STEM applications, with strong performance in science, mathematics, and coding. Launched in January 2025, it includes essential developer features such as function calling, structured outputs, and developer messages. The model offers three reasoning effort levels—low, medium, and high—allowing users to optimize between deeper analysis and faster response times. Unlike the o3 model, it lacks vision capabilities. Initially available to select developers in API usage tiers 3-5, it can be accessed via the Chat Completions API, Assistants API, and Batch API.
Gemini 2.0 Pro is Google's most advanced model to date, delivering exceptional coding performance and handling complex prompts with ease. It comes equipped with enhanced capabilities such as native tool integration, image generation, and speech synthesis. Designed for advanced reasoning, the model supports multimodal inputs, including text, images, video, and audio. Available via Google AI Studio and Vertex AI, it offers substantial performance improvements over previous versions while maintaining high efficiency.
o3-mini | Gemini 2.0 Pro | |
---|---|---|
Provider | ||
Web Site | ||
Release Date | Jan 31, 2025 2 months ago | Dec 11, 2024 4 months ago |
Modalities | text | text images voice video |
API Providers | OpenAI API | Google AI Studio, Vertex AI |
Knowledge Cut-off Date | Unknown | 08.2024 |
Open Source | No | No |
Pricing Input | $1.10 per million tokens | $0.10 per million tokens |
Pricing Output | $4.40 per million tokens | $0.40 per million tokens |
MMLU | 86.9% pass@1, high effort Source | Not available |
MMLU Pro | Not available | 79.1% Source |
MMMU | Not available | 72.7% Source |
HellaSwag | Not available | Not available |
HumanEval | Not available | Not available |
MATH | 97.9% pass@1, high effort Source | 91.8% Source |
GPQA | 79.7% 0-shot, high effort Source | 64.7% Diamond Source |
IFEval | Not available | Not available |
Mobile Application |
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