Codestral 2508 vs GPT-3.5 Turbo 16k (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. GPT-3.5 Turbo 16k
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Overview
GPT-3.5 Turbo 16k was released 1 year before Codestral 2508.
 Codestral 2508 |  GPT-3.5 Turbo 16k | |
|---|---|---|
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 | 16.4K 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 11 months ago August 1st, 2025 | August 28, 2023 2 years ago August 28th, 2023 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | September 30, 2021 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Codestral 2508 | GPT-3.5 Turbo 16k | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 📝Text |
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 ModeContent Moderation |
Pricing
Codestral 2508 is roughly 0.10x less expensive compared to GPT-3.5 Turbo 16k for input tokens and roughly 0.2x less expensive for output tokens.
| Codestral 2508 | GPT-3.5 Turbo 16k | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $3.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.90 per million tokens | $4.00 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-3.5 Turbo 16k.
| Codestral 2508 | GPT-3.5 Turbo 16k | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,092 Elo (#80 in 3D (45.5% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Codestral 2508 and GPT-3.5 Turbo 16k 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-3.5 Turbo 16k by OpenAI can use external tools and APIs, generates structured data. It can handle standard conversations with its 16.4K token context window. Reasonably priced at $3.00/M input and $4.00/M output tokens. Released August 28th, 2023.Explore More Comparisons
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Compare GPT-3.5 Turbo 16k 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
Multilingual translation tasks