Codestral 2508 vs GPT-5 Mini (Comparative Analysis)
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Comparative Analysis: Codestral 2508 vs. GPT-5 Mini
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Overview
Codestral 2508 was released 6 days before GPT-5 Mini.
 Codestral 2508 |  GPT-5 Mini | |
|---|---|---|
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 | 400K 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 1 year ago August 1st, 2025 | August 7, 2025 1 year ago August 7th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | May 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Codestral 2508 | GPT-5 Mini | |
|---|---|---|
Input Types Supported input formats | 📝Text📁File | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabledEffort: High, Medium, Low, MinimalDefault: Medium |
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 Output✓Reasoning Mode✓Content Moderation |
Pricing
Codestral 2508 is roughly 1.2x more expensive compared to GPT-5 Mini for input tokens and roughly 0.5x less expensive for output tokens.
| Codestral 2508 | GPT-5 Mini | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.25 per million tokens |
Output Token Cost Cost per million output tokens | $0.90 per million tokens | $2.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
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 GPT-5 Mini.
| Codestral 2508 | GPT-5 Mini | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 25.8 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 15.6 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 19.6 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,072 Elo (#88 in 3D (45.5% win rate)) | 1,170 Elo (#63 in Game Dev (46.5% win rate)) |
At a Glance
Quick overview of what makes Codestral 2508 and GPT-5 Mini 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-5 Mini by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 400K token context window. Reasonably priced at $0.25/M input and $2.00/M output tokens. Includes built-in content moderation for safer outputs. Released August 7th, 2025.Explore More Comparisons
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