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Qwen Turbo vs Gemini 3.5 Flash-Lite

At a glance

Fast and cost-efficient Qwen model for high-throughput applications.

61#70/92

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

1.0M ctx$0.30/$2.50 per M
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
CI 58.1-62.4
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI· as of 2026-07-10
Capability
CapabilityECI60.7
Reasoning & Knowledge
Graduate Science41.8%
Math
Math Problems56.2%Competition Math6.1%
No benchmarks available

This model hasn't been benchmarked yet.

Specs
—
Context
—
Max output
—
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
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 Qwen TurboGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Qwen Turbo vs Gemini 3.5 Flash-Lite▼

Which is better, Qwen Turbo or Gemini 3.5 Flash-Lite?

▼

Both Qwen 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.

Do both Qwen Turbo and Gemini 3.5 Flash-Lite support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Qwen Turbo does not.

What are the key differences between Qwen Turbo and Gemini 3.5 Flash-Lite?

▼

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 Qwen 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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