Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities, including structu…
Model details →Google: Gemma 3 27B vs Qwen: Qwen VL Plus
Google: Gemma 3 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen's Enhanced Large Visual Language Model. Significantly upgraded for detailed recognition capabilities and text recognition abilities, supporting ultra-high pixel resolutions up to millions of pixels and extreme aspect ratios for image i…
Model details →Side-by-side comparison
| Capability | Google: Gemma 3 27B | Qwen: Qwen VL Plus | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.08 | $0.14 | 🏆 Google: Gemma 3 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.16 | $0.41 | 🏆 Google: Gemma 3 27B |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 3 27B better than Qwen: Qwen VL Plus?
Google: Gemma 3 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 3 27B and Qwen: Qwen VL Plus?
Input: $0.08 vs $0.14 per 1M tokens. Output: $0.16 vs $0.41 per 1M tokens.
What context windows do Google: Gemma 3 27B and Qwen: Qwen VL Plus support?
Google: Gemma 3 27B supports up to 131K tokens. Qwen: Qwen VL Plus supports up to 131K tokens.
Do both Google: Gemma 3 27B and Qwen: Qwen VL Plus support tool calling?
Google: Gemma 3 27B: not advertised. Qwen: Qwen VL Plus: not advertised.