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 4.7
Google: Gemma 4 31B wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while.…
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 31B | Z.ai: GLM 4.7 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 205K | 🏆 Google: Gemma 4 31B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.40 | 🏆 Google: Gemma 4 31B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $1.75 | 🏆 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 | — | 🏆 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 Z.ai: GLM 4.7?
Google: Gemma 4 31B wins on 4 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 4.7?
Input: $0.10 vs $0.40 per 1M tokens. Output: $0.34 vs $1.75 per 1M tokens.
What context windows do Google: Gemma 4 31B and Z.ai: GLM 4.7 support?
Google: Gemma 4 31B supports up to 262K tokens. Z.ai: GLM 4.7 supports up to 205K tokens.
Do both Google: Gemma 4 31B and Z.ai: GLM 4.7 support tool calling?
Google: Gemma 4 31B: yes. Z.ai: GLM 4.7: yes.
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