Llama 4 Scout vs Mistral Nemo (Comparative Analysis)
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Comparative Analysis: Llama 4 Scout vs. Mistral Nemo
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Overview
Mistral Nemo was released 8 months before Llama 4 Scout.
 Llama 4 Scout |  Mistral Nemo | |
|---|---|---|
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 | 16.4K tokens |
Release Date When this model first became publicly available | April 5, 2025 1 year ago April 5th, 2025 | July 19, 2024 2 years ago July 19th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | April 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 4 Scout | Mistral Nemo | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
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 → | Available on HuggingFace → |
Pricing
Llama 4 Scout is roughly 5.0x more expensive compared to Mistral Nemo for input tokens and roughly 10.0x more expensive for output tokens.
| Llama 4 Scout | Mistral Nemo | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.10 per million tokens | $0.02 per million tokens |
Output Token Cost Cost per million output tokens | $0.30 per million tokens | $0.03 per million tokens |
Benchmarks
Compare relevant benchmarks between Llama 4 Scout and Mistral Nemo.
| Llama 4 Scout | Mistral Nemo | |
|---|---|---|
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 | 926 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 Nemo 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 Nemo by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.02/M input and $0.03/M output tokens. Released July 19th, 2024.Explore More Comparisons
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🔬Science
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