Gemini 3 Pro

o4-mini

OpenAI o4-mini is the newest lightweight model in the o-series, engineered for efficient and capable reasoning across text and visual tasks. Optimized for speed and performance, it excels in code generation and image-based understanding, while maintaining a balance between latency and reasoning depth. The model supports a 200,000-token context window with up to 100,000 output tokens, making it suitable for extended, high-volume interactions. It handles both text and image inputs, producing textual outputs with advanced reasoning capabilities. With its compact architecture and versatile performance, o4-mini is ideal for a wide array of real-world applications demanding fast, cost-effective intelligence.

Gemini 3 Proo4-mini
Web Site ?
Provider ?
Chat ?
Release Date ?
Modalities ?
text ?
images ?
voice ?
video ?
text ?
images ?
API Providers ?
Google AI Studio, Vertex AI, Gemini app
OpenAI API
Knowledge Cut-off Date ?
2025-01
-
Open Source ?
No
No
Pricing Input ?
$2 per million tokens
$1.10 per million tokens
Pricing Output ?
$12 per million tokens
$4.40 per million tokens
MMLU ?
-
fort
MMLU-Pro ?
-
-
MMMU ?
81%
Pro
Source
81.6%
Source
HellaSwag ?
-
-
HumanEval ?
-
14.28%
Source
MATH ?
-
-
GPQA ?
91.9%
Diamond, Scientific knowledge, No tools
Source
81.4%
Source
IFEval ?
-
-
SimpleQA ?
72.1%
Parametric knowledge
Source
-
AIME 2024
-
93.4%
Source
AIME 2025
95%
Source
92.7%
Source
Aider Polyglot ?
-
-
LiveCodeBench v5 ?
-
-
Global MMLU (Lite) ?
-
-
MathVista ?
-
-
Mobile Application

MathArena ?

Avg. Score
-
87%
AIME 2025
A test based on problems from the American Invitational Mathematics Examination, designed to assess the mathematical skills of models.
-
92%
HMMT February 2025
A test based on problems from the Harvard-MIT Mathematics Tournament, February 2025, designed to assess the mathematical skills of models.
-
83%
BRUMO 2025
-
87%
SMT 2025
A test based on problems from the Stanford Math Tournament, 2025, designed to assess the mathematical skills of models.
-
89%
CMIMC 2025
A test based on problems from the Canadian Mathematical Olympiad, 2025, designed to assess the mathematical skills of models.
-
84%

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