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Codestral 2508 vs GLM 4.5V

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 4.5V.

Mistral

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)

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Zhipu AI

GLM 4.5V

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...

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Technical Specifications

SpecificationCodestral 2508GLM 4.5V
ProviderMistralZhipu AI
Context Window256,000 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-012025-08-11

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

GLM 4.5V

$0.60

Output Price per Million Tokens

Codestral 2508

$0.90

GLM 4.5V

$1.80

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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 4.5V Quirks & Gotchas

No developer gotchas reported.