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 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.
| o4-mini | Gemini 2.0 Pro | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
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Release Date
| ||
Modalities
| text images | text images voice video |
API Providers
| OpenAI API | Google AI Studio, Vertex AI |
Knowledge Cut-off Date
| - | 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
| fort | Not available |
MMLU-Pro
| - | 79.1% Source |
MMMU
| 81.6% Source | 72.7% Source |
HellaSwag
| - | Not available |
HumanEval
| 14.28% Source | Not available |
MATH
| - | 91.8% Source |
GPQA
| 81.4% Source | 64.7% Diamond Source |
IFEval
| - | Not available |
SimpleQA
| - | - |
AIME 2024 | 93.4% Source | - |
AIME 2025 | 92.7% Source | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application |
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