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Command R (Aug 2024) vs Gemini 3.5 Flash-Lite

At a glance

Cohere's mid-tier retrieval-optimized model from August 2024.

128K ctx$0.15/$0.60 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
128K
Context
4K
Max output
Aug 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
Input50%$0.15/M tokens
Output76%$0.60/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 Command R (Aug 2024)Go to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Command R (Aug 2024) vs Gemini 3.5 Flash-Lite▼

Which is better, Command R (Aug 2024) or Gemini 3.5 Flash-Lite?

▼

Both Command R (Aug 2024) 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, Command R (Aug 2024) or Gemini 3.5 Flash-Lite?

▼

Command R (Aug 2024) has a lower blended cost. Command R (Aug 2024): $0.15 input / $0.60 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

Which has a larger context window, Command R (Aug 2024) or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Command R (Aug 2024) supports 128K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Command R (Aug 2024) and Gemini 3.5 Flash-Lite support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Command R (Aug 2024) does not.

What are the key differences between Command R (Aug 2024) 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 Command R (Aug 2024) and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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