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,...
Model details →Google: Gemma 3 12B vs Z.ai: GLM 4.6V
Google: Gemma 3 12B wins on 2 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 3 12B | Z.ai: GLM 4.6V | 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. | $0.05 | $0.30 | 🏆 Google: Gemma 3 12B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.15 | $0.90 | 🏆 Google: Gemma 3 12B |
| 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 | 🏆 Z.ai: GLM 4.6V |
Frequently asked questions
Is Google: Gemma 3 12B better than Z.ai: GLM 4.6V?
Google: Gemma 3 12B 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 12B and Z.ai: GLM 4.6V?
Input: $0.05 vs $0.30 per 1M tokens. Output: $0.15 vs $0.90 per 1M tokens.
What context windows do Google: Gemma 3 12B and Z.ai: GLM 4.6V support?
Google: Gemma 3 12B supports up to 131K tokens. Z.ai: GLM 4.6V supports up to 131K tokens.
Do both Google: Gemma 3 12B and Z.ai: GLM 4.6V support tool calling?
Google: Gemma 3 12B: yes. Z.ai: GLM 4.6V: yes.