Gemma 4 26B A4B vs Qwen3 235B A22B
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 235B A22B.
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 — delivering near-31B quality at...
Qwen3 235B A22B
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...
Technical Specifications
| Specification | Gemma 4 26B A4B | Qwen3 235B A22B |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 262,144 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-03 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 26B A4B
$0.06
Qwen3 235B A22B
$0.46
Output Price per Million Tokens
Gemma 4 26B A4B
$0.33
Qwen3 235B A22B
$1.82
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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 235B A22B Quirks & Gotchas
No developer gotchas reported.