Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...
Model details →Google: Gemini 3.1 Flash Lite (batch) vs Z.ai: GLM 5.2
Z.ai: GLM 5.2 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
Model details →Side-by-side comparison
| Capability | Google: Gemini 3.1 Flash Lite (batch) | Z.ai: GLM 5.2 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.13 | $0.10 | 🏆 Z.ai: GLM 5.2 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.75 | $0.31 | 🏆 Z.ai: GLM 5.2 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemini 3.1 Flash Lite (batch) |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemini 3.1 Flash Lite (batch) better than Z.ai: GLM 5.2?
Z.ai: GLM 5.2 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 3.1 Flash Lite (batch) and Z.ai: GLM 5.2?
Input: $0.13 vs $0.10 per 1M tokens. Output: $0.75 vs $0.31 per 1M tokens.
What context windows do Google: Gemini 3.1 Flash Lite (batch) and Z.ai: GLM 5.2 support?
Google: Gemini 3.1 Flash Lite (batch) supports up to 1.0M tokens. Z.ai: GLM 5.2 supports up to 1.0M tokens.
Do both Google: Gemini 3.1 Flash Lite (batch) and Z.ai: GLM 5.2 support tool calling?
Google: Gemini 3.1 Flash Lite (batch): yes. Z.ai: GLM 5.2: yes.
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