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.
Qwen 3 | o4-mini | |
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Web Site
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Provider
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Chat
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Release Date
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Modalities
| - | text images |
API Providers
| - | OpenAI API |
Knowledge Cut-off Date
| - | - |
Open Source
| Yes (Source) | No |
Pricing Input
| - | $1.10 per million tokens |
Pricing Output
| - | $4.40 per million tokens |
MMLU
| - | fort |
MMLU-Pro
| - | - |
MMMU
| - | 81.6% Source |
HellaSwag
| - | - |
HumanEval
| - | 14.28% Source |
MATH
| - | - |
GPQA
| - | 81.4% Source |
IFEval
| - | - |
SimpleQA
| - | - |
AIME 2024 | Source | 93.4% Source |
AIME 2025 | Source | 92.7% Source |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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