Mistral Nemo vs o3 Pro (Comparative Analysis)
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Comparative Analysis: Mistral Nemo vs. o3 Pro
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Overview
Mistral Nemo was released 10 months before o3 Pro.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 100K tokens |
Release Date When this model first became publicly available | July 19, 2024 2 years ago July 19th, 2024 | June 10, 2025 1 year ago June 10th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | April 30, 2024 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Mistral Nemo | o3 Pro | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text📁File🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Mistral Nemo is significantly less expensive compared to o3 Pro for input tokens and significantly less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.02 per million tokens | $20.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.03 per million tokens | $80.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
At a Glance
Quick overview of what makes Mistral Nemo and o3 Pro unique.
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