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Gemini 3.5 Flash-Lite vs Qwen2.5 72B

At a glance

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

1.0M ctx$0.30/$2.50 per M

Large 72B model from the Qwen 2.5 generation.

6333K ctx$0.36/$0.40 per M#65/92
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Capability
Capability—
Reasoning & Knowledge
Graduate Science—
Math
Math Problems—Competition Math—
Agentic
Task Horizon—
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper56%
Capability
CapabilityECI62.8
Reasoning & Knowledge
Graduate Science49.1%
Math
Math Problems63.2%Competition Math8.1%
Agentic
Task Horizon5min
Specs
1.0M
Context
66K
Max output
Jul 2026
Released
33K
Context
16K
Max output
Sep 2024
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input17%$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
Live pricing, shown before you run
Input$0.36/M tokens
Output84%$0.40/M tokens
Chat with Gemini 3.5 Flash-LiteGo to model
Chat with Qwen2.5 72BGo to model
Frequently Asked Questions: Gemini 3.5 Flash-Lite vs Qwen2.5 72B▼

Which is better, Gemini 3.5 Flash-Lite or Qwen2.5 72B?

▼

Both Gemini 3.5 Flash-Lite and Qwen2.5 72B 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, Gemini 3.5 Flash-Lite or Qwen2.5 72B?

▼

Qwen2.5 72B has a lower blended cost. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output. Qwen2.5 72B: $0.36 input / $0.40 output.

Which has a larger context window, Gemini 3.5 Flash-Lite or Qwen2.5 72B?

▼

Gemini 3.5 Flash-Lite has a larger context window: Gemini 3.5 Flash-Lite supports 1M tokens vs Qwen2.5 72B at 33K tokens.

Do both Gemini 3.5 Flash-Lite and Qwen2.5 72B support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Qwen2.5 72B does not.

What are the key differences between Gemini 3.5 Flash-Lite and Qwen2.5 72B?

▼

Key differences: 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 Gemini 3.5 Flash-Lite and Qwen2.5 72B for free on idapt.app to see which performs better for your specific needs.

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