GPT-5 Nano vs Mistral Large (Comparative Analysis)
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Comparative Analysis: GPT-5 Nano vs. Mistral Large
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Overview
Mistral Large was released 1 year before GPT-5 Nano.
 GPT-5 Nano |  Mistral Large | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Mistral |
Input Context Window Maximum input tokens this model can process at once | 400K tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | Not specified tokens |
Release Date When this model first became publicly available | August 7, 2025 11 months ago August 7th, 2025 | February 26, 2024 2 years ago February 26th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | May 31, 2024 | November 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5 Nano | Mistral Large | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text📁File |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, Low, MinimalDefault: Medium | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Pricing
GPT-5 Nano is roughly 0.03x less expensive compared to Mistral Large for input tokens and roughly 0.07x less expensive for output tokens.
| GPT-5 Nano | Mistral Large | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $6.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.0050 per million tokens | $0.20 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-5 Nano and Mistral Large.
| GPT-5 Nano | Mistral Large | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,126 Elo (#83 in Website (48.9% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-5 Nano and Mistral Large unique.
GPT-5 Nano by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 400K token context window. Very affordable at $0.05/M input and $0.40/M output tokens. Includes built-in content moderation for safer outputs. Released August 7th, 2025.Mistral Large by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released February 26th, 2024.Explore More Comparisons
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Models optimized for creative writing
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💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
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