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GLM 5V Turbo vs Gemini 3.5 Flash-Lite

At a glance

Zhipu AI's first native multimodal agent foundation model.

203K ctx$1.20/$4.00 per M

Google's high-efficiency model for focused subagent work and multi-agent workflows.

1.0M ctx$0.30/$2.50 per M
Agent Demos
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AI Output
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Benchmarks
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Specs
203K
Context
131K
Max output
Apr 2026
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$1.20/M tokens
Output$4.00/M tokens
Cache read$0.24/M tokens
Live pricing, shown before you run
Input75%$0.30/M tokens
Output38%$2.50/M tokens
Reasoning$2.50/M tokens
Cache read88%$0.03/M tokens
Cache write$0.08/M tokens
Image input$0.30/M tokens
Audio input$0.30/M tokens
Web search$0.01/search
Chat with GLM 5V TurboGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: GLM 5V Turbo vs Gemini 3.5 Flash-Lite▼

Which is better, GLM 5V Turbo or Gemini 3.5 Flash-Lite?

▼

Both GLM 5V Turbo and Gemini 3.5 Flash-Lite are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, GLM 5V Turbo or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a lower blended cost. GLM 5V Turbo: $1.20 input / $4.00 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

Which has a larger context window, GLM 5V Turbo or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: GLM 5V Turbo supports 203K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both GLM 5V Turbo and Gemini 3.5 Flash-Lite support vision?

▼

Yes, both GLM 5V Turbo and Gemini 3.5 Flash-Lite support vision/image input.

What are the key differences between GLM 5V Turbo and Gemini 3.5 Flash-Lite?

▼

Key differences: Gemini 3.5 Flash-Lite is significantly cheaper. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both GLM 5V Turbo and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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