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GLM 4.6V vs Mistral Large

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 4.6V and Mistral Large.

Zhipu AI

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...

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Mistral

Mistral Large

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

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Technical Specifications

SpecificationGLM 4.6VMistral Large
ProviderZhipu AIMistral
Context Window131,072 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-082024-02-26

API Pricing Comparison

Input Price per Million Tokens

GLM 4.6V

$0.30

Mistral Large

$2.00

Output Price per Million Tokens

GLM 4.6V

$0.90

Mistral Large

$6.00

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 4.6V Quirks & Gotchas

No developer gotchas reported.

Mistral Large Quirks & Gotchas

No developer gotchas reported.