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GLM 4.5V vs Mistral Medium 3.5

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 GLM 4.5V and Mistral Medium 3.5.

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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Mistral

Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

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Technical Specifications

SpecificationGLM 4.5VMistral Medium 3.5
ProviderZhipu AIMistral
Context Window65,536 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-112026-04-30

API Pricing Comparison

Input Price per Million Tokens

GLM 4.5V

$0.60

Mistral Medium 3.5

$1.50

Output Price per Million Tokens

GLM 4.5V

$1.80

Mistral Medium 3.5

$7.50

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.

GLM 4.5V Quirks & Gotchas

No developer gotchas reported.

Mistral Medium 3.5 Quirks & Gotchas

No developer gotchas reported.