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Gemini 3.5 Flash-Lite vs Kimi K2 Thinking

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

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

262K ctx$0.60/$2.50 per M
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
Cheaper21%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
1.0M
Context
66K
Max output
Jul 2026
Released
262K
Context
100K
Max output
Nov 2025
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
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
Live pricing, shown before you run
Input$0.60/M tokens
Output$2.50/M tokens
Cache read$0.15/M tokens
Chat with Gemini 3.5 Flash-LiteGo to model
Chat with Kimi K2 ThinkingGo to model
Frequently Asked Questions: Gemini 3.5 Flash-Lite vs Kimi K2 Thinking▼

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

▼

Both Gemini 3.5 Flash-Lite and Kimi K2 Thinking 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 Kimi K2 Thinking?

▼

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

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

▼

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

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

▼

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

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

▼

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 Gemini 3.5 Flash-Lite and Kimi K2 Thinking for free on idapt.app to see which performs better for your specific needs.

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