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.
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.
| o3-mini | Llama 3.1 Nemotron 70B Instruct | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Jan 31, 2025 2 months ago | Oct 15, 2023 1 year ago |
Modalities | text | text |
API Providers | OpenAI API | OpenRouter |
Knowledge Cut-off Date | Unknown | - |
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 | 86.9% pass@1, high effort Source | 85% 5-shot Source |
MMLU Pro | Not available | Not available |
MMMU | Not available | Not available |
HellaSwag | Not available | Not available |
HumanEval | Not available | 75% Source |
MATH | 97.9% pass@1, high effort Source | 71% Source |
GPQA | 79.7% 0-shot, high effort Source | Not available |
IFEval | Not available | Not available |
Mobile Application | - |
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