o3-mini

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

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-miniGemini 2.0 Pro
Web Site ?
Provider ?
Chat ?
Release Date ?
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
SimpleQA ?
-
-
AIME 2024
-
-
AIME 2025
-
-
Aider Polyglot ?
-
-
LiveCodeBench v5 ?
-
-
Global MMLU (Lite) ?
-
-
MathVista ?
-
-
Mobile Application

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