GPT-4.1 Nano vs Mistral Large 2407 (Comparative Analysis)
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Comparative Analysis: GPT-4.1 Nano vs. Mistral Large 2407
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Overview
Mistral Large 2407 was released 4 months before GPT-4.1 Nano.
 GPT-4.1 Nano |  Mistral Large 2407 | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Mistral |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | Not specified tokens |
Release Date When this model first became publicly available | April 14, 2025 1 year ago April 14th, 2025 | November 19, 2024 1 year ago November 19th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | March 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4.1 Nano | Mistral Large 2407 | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text📁File | 📝Text📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Pricing
GPT-4.1 Nano is roughly 0.05x less expensive compared to Mistral Large 2407 for input tokens and roughly 0.07x less expensive for output tokens.
| GPT-4.1 Nano | Mistral Large 2407 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.10 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 | $0.02 per million tokens | $0.20 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4.1 Nano and Mistral Large 2407.
| GPT-4.1 Nano | Mistral Large 2407 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 9.6 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 11.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 1.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,030 Elo (#95 in Game Dev (49.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-4.1 Nano and Mistral Large 2407 unique.
GPT-4.1 Nano by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.10/M input and $0.40/M output tokens. Includes built-in content moderation for safer outputs. Released April 14th, 2025.Mistral Large 2407 by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released November 19th, 2024.Explore More Comparisons
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Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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🌐Translation
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