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Gemma 3n 4B vs GLM 5.2

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 Gemma 3n 4B and GLM 5.2.

Google

Gemma 3n 4B

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...

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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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Technical Specifications

SpecificationGemma 3n 4BGLM 5.2
ProviderGoogleZhipu AI
Context Window32,768 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-05-202026-06-16

API Pricing Comparison

Input Price per Million Tokens

Gemma 3n 4B

$0.06

GLM 5.2

$0.93

Output Price per Million Tokens

Gemma 3n 4B

$0.12

GLM 5.2

$3.00

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
N/Avs8950.0%
Gemma 3n 4B
GLM 5.2
HumanEvalPython coding & logic synthesis
N/Avs9120.0%
Gemma 3n 4B
GLM 5.2
MATHComplex mathematical problem solving
N/Avs8050.0%
Gemma 3n 4B
GLM 5.2
GPQAGraduate-level expert reasoning
N/Avs5350.0%
Gemma 3n 4B
GLM 5.2
HellaSwagCommonsense reasoning and inference
N/Avs8980.0%
Gemma 3n 4B
GLM 5.2
MT-BenchMulti-turn conversation flow quality
N/Avs930.0%
Gemma 3n 4B
GLM 5.2

Gemma 3n 4B Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.