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Qwen2.5 7B vs Gemini 3.5 Flash-Lite

At a glance

Compact 7B model from Qwen 2.5 for efficient deployment.

33K ctx$0.04/$0.10 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
33K
Context
16K
Max output
Oct 2024
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input87%$0.04/M tokens
Output96%$0.10/M tokens
Live pricing, shown before you run
Input$0.30/M tokens
Output$2.50/M tokens
Reasoning$2.50/M tokens
Cache read$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 Qwen2.5 7BGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Qwen2.5 7B vs Gemini 3.5 Flash-Lite▼

Which is better, Qwen2.5 7B or Gemini 3.5 Flash-Lite?

▼

Both Qwen2.5 7B 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, Qwen2.5 7B or Gemini 3.5 Flash-Lite?

▼

Qwen2.5 7B has a lower blended cost. Qwen2.5 7B: $0.04 input / $0.10 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

Which has a larger context window, Qwen2.5 7B or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Qwen2.5 7B supports 33K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Qwen2.5 7B and Gemini 3.5 Flash-Lite support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Qwen2.5 7B does not.

What are the key differences between Qwen2.5 7B and Gemini 3.5 Flash-Lite?

▼

Key differences: Qwen2.5 7B is significantly cheaper; only Gemini 3.5 Flash-Lite supports vision input; only Gemini 3.5 Flash-Lite offers extended reasoning mode. 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 Qwen2.5 7B and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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