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Kimi K2 vs Gemini 3.5 Flash-Lite

At a glance

MoonshotAI's large MoE model — 1T total parameters, 32B active.

78131K ctx$0.57/$2.30 per M#32/92

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
CodingInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI78.2
Agentic
Terminal Tasks35.7%Task Horizon54min
No benchmarks available

This model hasn't been benchmarked yet.

Specs
131K
Context
100K
Max output
Jul 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$0.57/M tokens
Output8%$2.30/M tokens
Live pricing, shown before you run
Input47%$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 Kimi K2Go to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Kimi K2 vs Gemini 3.5 Flash-Lite▼

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

▼

Both Kimi K2 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 or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a lower blended cost. Kimi K2: $0.57 input / $2.30 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

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

▼

Gemini 3.5 Flash-Lite has a larger context window: Kimi K2 supports 131K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

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

▼

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

What are the key differences between Kimi K2 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 Kimi K2 and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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