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Gemma 4 31B vs GLM 5V Turbo

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 4 31B and GLM 5V Turbo.

Google

Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

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Zhipu AI

GLM 5V Turbo

GLM-5V-Turbo is Z.aiโ€™s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

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Technical Specifications

SpecificationGemma 4 31BGLM 5V Turbo
ProviderGoogleZhipu AI
Context Window262,144 tokens202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-022026-04-01

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 31B

$0.12

GLM 5V Turbo

$1.20

Output Price per Million Tokens

Gemma 4 31B

$0.35

GLM 5V Turbo

$4.00

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.

Gemma 4 31B Quirks & Gotchas

No developer gotchas reported.

GLM 5V Turbo Quirks & Gotchas

No developer gotchas reported.