Mistral Large vs o3 Deep Research (Comparative Analysis)
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Comparative Analysis: Mistral Large vs. o3 Deep Research
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Overview
Mistral Large was released 1 year before o3 Deep Research.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 100K tokens |
Release Date When this model first became publicly available | February 26, 2024 2 years ago February 26th, 2024 | October 10, 2025 9 months ago October 10th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | November 30, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Mistral Large | o3 Deep Research | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 🖼️Image📝Text📁File |
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 |
Pricing
Mistral Large is roughly 0.2x less expensive compared to o3 Deep Research for input tokens and roughly 0.1x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $2.00 per million tokens | $10.00 per million tokens |
Output Token Cost Cost per million output tokens | $6.00 per million tokens | $40.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.20 per million tokens | $2.50 per million tokens |
At a Glance
Quick overview of what makes Mistral Large and o3 Deep Research unique.
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