Codestral 2508 vs DeepSeek V3 0324 (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. DeepSeek V3 0324
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Overview
DeepSeek V3 0324 was released 4 months before Codestral 2508.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 163.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 65.5K tokens |
Release Date When this model first became publicly available | August 1, 2025 1 year ago August 1st, 2025 | March 24, 2025 1 year ago March 24th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | July 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Codestral 2508 | DeepSeek V3 0324 | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | DeepSeek |
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 1.1x more expensive compared to DeepSeek V3 0324 for input tokens and roughly 0.8x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.27 per million tokens |
Output Token Cost Cost per million output tokens | $0.90 per million tokens | $1.12 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.03 per million tokens | $0.14 per million tokens |
Benchmarks
Compare relevant benchmarks between Codestral 2508 and DeepSeek V3 0324.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 15.2 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 21.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 1.6 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,074 Elo (#88 in 3D (45.5% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Codestral 2508 and DeepSeek V3 0324 unique.
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