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GLM 5 vs Ministral 3 14B 2512

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 and Ministral 3 14B 2512.

Zhipu AI

GLM 5

GLM-5 is Z.aiโ€™s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...

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Mistral

Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

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Technical Specifications

SpecificationGLM 5Ministral 3 14B 2512
ProviderZhipu AIMistral
Context Window202,752 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-112025-12-02

API Pricing Comparison

Input Price per Million Tokens

GLM 5

$0.60

Ministral 3 14B 2512

$0.20

Output Price per Million Tokens

GLM 5

$1.92

Ministral 3 14B 2512

$0.20

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
8650.0%vsN/A
GLM 5
Ministral 3 14B 2512
HumanEvalPython coding & logic synthesis
8700.0%vsN/A
GLM 5
Ministral 3 14B 2512
MATHComplex mathematical problem solving
7400.0%vsN/A
GLM 5
Ministral 3 14B 2512
GPQAGraduate-level expert reasoning
4800.0%vsN/A
GLM 5
Ministral 3 14B 2512
HellaSwagCommonsense reasoning and inference
8700.0%vsN/A
GLM 5
Ministral 3 14B 2512
MT-BenchMulti-turn conversation flow quality
910.0%vsN/A
GLM 5
Ministral 3 14B 2512

GLM 5 Quirks & Gotchas

No developer gotchas reported.

Ministral 3 14B 2512 Quirks & Gotchas

No developer gotchas reported.