Codestral 2508 vs GPT-4 Turbo (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. GPT-4 Turbo
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Overview
GPT-4 Turbo was released 1 year before Codestral 2508.
 Codestral 2508 |  GPT-4 Turbo | |
|---|---|---|
Model Provider The organization behind this AI's development | Mistral | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 4.1K tokens |
Release Date When this model first became publicly available | August 1, 2025 12 months ago August 1st, 2025 | April 9, 2024 2 years ago April 9th, 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 | GPT-4 Turbo | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Pricing
Codestral 2508 is roughly 0.03x less expensive compared to GPT-4 Turbo for input tokens and roughly 0.03x less expensive for output tokens.
| Codestral 2508 | GPT-4 Turbo | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $10.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.90 per million tokens | $30.00 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 GPT-4 Turbo.
| Codestral 2508 | GPT-4 Turbo | |
|---|---|---|
Coding Index Programming performance across independent evaluations | Benchmark not available. | 21.5 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,078 Elo (#84 in 3D (45.5% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Codestral 2508 and GPT-4 Turbo 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.GPT-4 Turbo by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Premium pricing at $10.00/M input and $30.00/M output tokens. Includes built-in content moderation for safer outputs. Released April 9th, 2024.Explore More Comparisons
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Compare GPT-4 Turbo with:
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🔬Science
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