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Gemma 4 26B A4B vs GLM 4.5 Air

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 26B A4B and GLM 4.5 Air.

Google

Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference โ€” delivering near-31B quality at...

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Zhipu AI

GLM 4.5 Air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...

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Technical Specifications

SpecificationGemma 4 26B A4BGLM 4.5 Air
ProviderGoogleZhipu AI
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-032025-07-25

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

GLM 4.5 Air

$0.13

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

GLM 4.5 Air

$0.85

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 26B A4B Quirks & Gotchas

No developer gotchas reported.

GLM 4.5 Air Quirks & Gotchas

No developer gotchas reported.