โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GLM 4.7 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 4.7 and Mistral Large.

Zhipu AI

GLM 4.7

GLM-4.7 is Z.aiโ€™s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

View Full Specs
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/)....

View Full Specs

Technical Specifications

SpecificationGLM 4.7Mistral Large
ProviderZhipu AIMistral
Context Window202,752 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-222024-02-26

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

Mistral Large

$2.00

Output Price per Million Tokens

GLM 4.7

$1.75

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.

MMLUGeneral knowledge & multi-task understanding
8150.0%vsN/A
GLM 4.7
Mistral Large
HumanEvalPython coding & logic synthesis
8200.0%vsN/A
GLM 4.7
Mistral Large
MATHComplex mathematical problem solving
5150.0%vsN/A
GLM 4.7
Mistral Large
GPQAGraduate-level expert reasoning
3800.0%vsN/A
GLM 4.7
Mistral Large
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
GLM 4.7
Mistral Large
MT-BenchMulti-turn conversation flow quality
865.0%vsN/A
GLM 4.7
Mistral Large

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

Mistral Large Quirks & Gotchas

No developer gotchas reported.