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.
NVIDIA's Llama 3.1 Nemotron 70B is a powerful language model optimized for delivering accurate and informative responses. Built on the Llama 3.1 70B architecture and enhanced with Reinforcement Learning from Human Feedback (RLHF),it achieves top performance in automatic alignment benchmarks. Designed for applications demanding high precision in response generation and helpfulness, this model is well-suited for a wide range of user queries across multiple domains.
| o4-mini | Llama 3.1 Nemotron 70B Instruct | |
|---|---|---|
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 | text |
API Providers
| OpenAI API | OpenRouter |
Knowledge Cut-off Date
| - | - |
Open Source
| No | Yes |
Pricing Input
| $1.10 per million tokens | $0.35 per million tokens |
Pricing Output
| $4.40 per million tokens | $0.40 per million tokens |
MMLU
| fort | 85% 5-shot Source |
MMLU-Pro
| - | Not available |
MMMU
| 81.6% Source | Not available |
HellaSwag
| - | Not available |
HumanEval
| 14.28% Source | 75% Source |
MATH
| - | 71% Source |
GPQA
| 81.4% Source | Not available |
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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