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Gemma 4 26B A4B vs Qwen3.5 Plus 2026-02-15

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 Qwen3.5 Plus 2026-02-15.

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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Alibaba

Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

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Technical Specifications

SpecificationGemma 4 26B A4BQwen3.5 Plus 2026-02-15
ProviderGoogleAlibaba
Context Window262,144 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-032026-02-16

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

Qwen3.5 Plus 2026-02-15

$0.26

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

Qwen3.5 Plus 2026-02-15

$1.56

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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.

Qwen3.5 Plus 2026-02-15 Quirks & Gotchas

No developer gotchas reported.