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Kimi K2 Thinking vs Gemini 3.5 Flash-Lite

At a glance

Kimi K2 with always-on extended reasoning for complex problem solving.

262K ctx$0.60/$2.50 per M

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

1.0M ctx$0.30/$2.50 per M
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AI Output
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Specs
262K
Context
100K
Max output
Nov 2025
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$0.60/M tokens
Output$2.50/M tokens
Cache read$0.15/M tokens
Live pricing, shown before you run
Input50%$0.30/M tokens
Output$2.50/M tokens
Reasoning$2.50/M tokens
Cache read80%$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 Kimi K2 ThinkingGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Kimi K2 Thinking vs Gemini 3.5 Flash-Lite▼

Which is better, Kimi K2 Thinking or Gemini 3.5 Flash-Lite?

▼

Both Kimi K2 Thinking 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, Kimi K2 Thinking or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a lower blended cost. Kimi K2 Thinking: $0.60 input / $2.50 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

Which has a larger context window, Kimi K2 Thinking or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Kimi K2 Thinking supports 262K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Kimi K2 Thinking and Gemini 3.5 Flash-Lite support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Kimi K2 Thinking does not.

What are the key differences between Kimi K2 Thinking and Gemini 3.5 Flash-Lite?

▼

Key differences: only Gemini 3.5 Flash-Lite supports vision input. 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 Kimi K2 Thinking and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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