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GLM 5.2 vs Mistral Large 3

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 5.2 and Mistral Large 3.

Zhipu AI

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,...

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Mistral

Mistral Large 3

Mistral's flagship commercial model, boasting multilingual support and advanced coding and math skills. Designed for complex reasoning and enterprise tasks that require high compliance.

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Technical Specifications

SpecificationGLM 5.2Mistral Large 3
ProviderZhipu AIMistral
Context Window1,048,576 tokens262,144 tokens
Agent SuitabilityN/A91/100
Time to First Token (TTFT)N/A250 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-162024-07-24

API Pricing Comparison

Input Price per Million Tokens

GLM 5.2

$0.93

Mistral Large 3

$0.50

Output Price per Million Tokens

GLM 5.2

$3.00

Mistral Large 3

$1.50

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.

MMLUGeneral knowledge & multi-task understanding
8950.0%vs8680.0%
GLM 5.2
Mistral Large 3
HumanEvalPython coding & logic synthesis
9120.0%vs8820.0%
GLM 5.2
Mistral Large 3
MATHComplex mathematical problem solving
8050.0%vs7950.0%
GLM 5.2
Mistral Large 3
GPQAGraduate-level expert reasoning
5350.0%vs5850.0%
GLM 5.2
Mistral Large 3
HellaSwagCommonsense reasoning and inference
8980.0%vs9000.0%
GLM 5.2
Mistral Large 3
MT-BenchMulti-turn conversation flow quality
930.0%vs900.0%
GLM 5.2
Mistral Large 3

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

Mistral Large 3 Quirks & Gotchas

  • โ–ธTop-tier structured JSON output โ€” best multilingual function calling
  • โ–ธLe Chat offers free consumer tier with same underlying model