Codestral 2508 vs GLM 5.2
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Codestral 2508 and GLM 5.2.
Codestral 2508
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
Technical Specifications
| Specification | Codestral 2508 | GLM 5.2 |
|---|---|---|
| Provider | Mistral | Zhipu AI |
| Context Window | 256,000 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-08-01 | 2026-06-16 |
API Pricing Comparison
Input Price per Million Tokens
Codestral 2508
$0.30
GLM 5.2
$0.93
Output Price per Million Tokens
Codestral 2508
$0.90
GLM 5.2
$3.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Codestral 2508 Quirks & Gotchas
No developer gotchas reported.
GLM 5.2 Quirks & Gotchas
No developer gotchas reported.