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 Z.ai: GLM 4.6V
Google: Gemma 4 31B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 31B | Z.ai: GLM 4.6V | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 131K | 🏆 Google: Gemma 4 31B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.30 | 🏆 Google: Gemma 4 31B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $0.90 | 🏆 Google: Gemma 4 31B |
| 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 31B better than Z.ai: GLM 4.6V?
Google: Gemma 4 31B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 4 31B and Z.ai: GLM 4.6V?
Input: $0.10 vs $0.30 per 1M tokens. Output: $0.34 vs $0.90 per 1M tokens.
What context windows do Google: Gemma 4 31B and Z.ai: GLM 4.6V support?
Google: Gemma 4 31B supports up to 262K tokens. Z.ai: GLM 4.6V supports up to 131K tokens.
Do both Google: Gemma 4 31B and Z.ai: GLM 4.6V support tool calling?
Google: Gemma 4 31B: yes. Z.ai: GLM 4.6V: yes.
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