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...
Model details →Google: Gemma 4 26B A4B vs Qwen: Qwen3.6 27B
Google: Gemma 4 26B A4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | Qwen: Qwen3.6 27B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.09 | $0.30 | 🏆 Google: Gemma 4 26B A4B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.30 | $2.00 | 🏆 Google: Gemma 4 26B A4B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemma 4 26B A4B better than Qwen: Qwen3.6 27B?
Google: Gemma 4 26B A4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 4 26B A4B and Qwen: Qwen3.6 27B?
Input: $0.09 vs $0.30 per 1M tokens. Output: $0.30 vs $2.00 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and Qwen: Qwen3.6 27B support?
Google: Gemma 4 26B A4B supports up to 262K tokens. Qwen: Qwen3.6 27B supports up to 262K tokens.
Do both Google: Gemma 4 26B A4B and Qwen: Qwen3.6 27B support tool calling?
Google: Gemma 4 26B A4B: yes. Qwen: Qwen3.6 27B: yes.