Llama 4 Scout vs Mistral Large 2407 (Comparative Analysis)
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Comparative Analysis: Llama 4 Scout vs. Mistral Large 2407
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Overview
Mistral Large 2407 was released 4 months before Llama 4 Scout.
 Llama 4 Scout |  Mistral Large 2407 | |
|---|---|---|
Model Provider The organization behind this AI's development | Meta | Mistral |
Input Context Window Maximum input tokens this model can process at once | 1.3M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | Not specified tokens |
Release Date When this model first became publicly available | April 5, 2025 1 year ago April 5th, 2025 | November 19, 2024 1 year ago November 19th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | March 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 4 Scout | Mistral Large 2407 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama4 | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Llama 4 Scout is roughly 0.05x less expensive compared to Mistral Large 2407 for input tokens and roughly 0.05x less expensive for output tokens.
| Llama 4 Scout | 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 | $0.30 per million tokens | $6.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.20 per million tokens |
Benchmarks
Compare relevant benchmarks between Llama 4 Scout and Mistral Large 2407.
| Llama 4 Scout | Mistral Large 2407 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 10 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 8.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 1.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 925 Elo (#106 in Data Viz (39.3% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Llama 4 Scout and Mistral Large 2407 unique.
Llama 4 Scout by Meta understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1.3M token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released April 5th, 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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Compare Mistral Large 2407 with:
🚀Programming
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
Scientific research and analysis
🌐Translation
Multilingual translation tasks