Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Model details →Google: Gemma 4 31B vs Tencent: Hy3 preview
Tencent: Hy3 preview wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 31B | Tencent: Hy3 preview | 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. | $0.10 | $0.06 | 🏆 Tencent: Hy3 preview |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $0.21 | 🏆 Tencent: Hy3 preview |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemma 4 31B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemma 4 31B better than Tencent: Hy3 preview?
Tencent: Hy3 preview 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 31B and Tencent: Hy3 preview?
Input: $0.10 vs $0.06 per 1M tokens. Output: $0.34 vs $0.21 per 1M tokens.
What context windows do Google: Gemma 4 31B and Tencent: Hy3 preview support?
Google: Gemma 4 31B supports up to 262K tokens. Tencent: Hy3 preview supports up to 262K tokens.
Do both Google: Gemma 4 31B and Tencent: Hy3 preview support tool calling?
Google: Gemma 4 31B: yes. Tencent: Hy3 preview: yes.
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