Codestral 2508 vs Llama 3.1 8B Instruct (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. Llama 3.1 8B Instruct
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Overview
Llama 3.1 8B Instruct was released 1 year before Codestral 2508.
 Codestral 2508 |  Llama 3.1 8B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Mistral | Meta |
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 131.1K tokens |
Release Date When this model first became publicly available | August 1, 2025 12 months ago August 1st, 2025 | July 23, 2024 2 years ago July 23rd, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Codestral 2508 | Llama 3.1 8B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Codestral 2508 is roughly 6.0x more expensive compared to Llama 3.1 8B Instruct for input tokens and roughly 11.3x more expensive for output tokens.
| Codestral 2508 | Llama 3.1 8B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $0.90 per million tokens | $0.08 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.03 per million tokens | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between Codestral 2508 and Llama 3.1 8B Instruct.
| Codestral 2508 | Llama 3.1 8B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 7.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 5.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 0.5 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,078 Elo (#85 in 3D (45.5% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Codestral 2508 and Llama 3.1 8B Instruct unique.
Codestral 2508 by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 256K token context window. Very affordable at $0.30/M input and $0.90/M output tokens. Released August 1st, 2025.Llama 3.1 8B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.05/M input and $0.08/M output tokens. Released July 23rd, 2024.Explore More Comparisons
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Compare Llama 3.1 8B Instruct 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
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🌐Translation
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