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 32B
Google: Gemma 3 12B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly enhanced capabilities in tool use, online search, and code-related intelligent tasks. It is made by the same lab behin…
Model details →Side-by-side comparison
| Capability | Google: Gemma 3 12B | Z.ai: GLM 4 32B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 128K | 🏆 Google: Gemma 3 12B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.10 | 🏆 Google: Gemma 3 12B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.15 | $0.10 | 🏆 Z.ai: GLM 4 32B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemma 3 12B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 3 12B better than Z.ai: GLM 4 32B?
Google: Gemma 3 12B wins on 3 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 32B?
Input: $0.05 vs $0.10 per 1M tokens. Output: $0.15 vs $0.10 per 1M tokens.
What context windows do Google: Gemma 3 12B and Z.ai: GLM 4 32B support?
Google: Gemma 3 12B supports up to 131K tokens. Z.ai: GLM 4 32B supports up to 128K tokens.
Do both Google: Gemma 3 12B and Z.ai: GLM 4 32B support tool calling?
Google: Gemma 3 12B: yes. Z.ai: GLM 4 32B: yes.