Codestral 2508 vs Llama 3.3 70B Instruct (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. Llama 3.3 70B Instruct
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Overview
Llama 3.3 70B Instruct was released 7 months before Codestral 2508.
 Codestral 2508 |  Llama 3.3 70B 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 | 128K tokens |
Release Date When this model first became publicly available | August 1, 2025 12 months ago August 1st, 2025 | December 6, 2024 1 year ago December 6th, 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 3.3 70B 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 2.3x more expensive compared to Llama 3.3 70B Instruct for input tokens and roughly 2.3x more expensive for output tokens.
| Codestral 2508 | Llama 3.3 70B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.13 per million tokens |
Output Token Cost Cost per million output tokens | $0.90 per million tokens | $0.40 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.03 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Codestral 2508 and Llama 3.3 70B Instruct.
| Codestral 2508 | Llama 3.3 70B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 9.4 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 11.9 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 0.3 (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 3.3 70B 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 3.3 70B 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 $0.13/M input and $0.40/M output tokens. Released December 6th, 2024.Explore More Comparisons
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Compare Llama 3.3 70B 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
Scientific research and analysis
🌐Translation
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