o3-mini

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.

Llama 3.1 Nemotron 70B Instruct

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-miniLlama 3.1 Nemotron 70B Instruct
Web Site ?
Provider ?
Chat ?
Release Date ?
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
SimpleQA ?
-
-
AIME 2024
-
-
AIME 2025
-
-
Aider Polyglot ?
-
-
LiveCodeBench v5 ?
-
-
Global MMLU (Lite) ?
-
-
MathVista ?
-
-
Mobile Application
-

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