Skip to main content
idapt
HomeCodeAI ModelsPricing
Sign inStart free
  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Agents
  • Computers
  • Drive
  • Automations
  • AI Gateway
  • All features →
  • LLM cost calculator
  • Token counter
  • All free tools →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Benchmarks
  • Demos
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • idapt Code
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)

Mercury 2.5 vs Gemini 3.5 Flash-Lite

At a glance

Inception's latest diffusion LLM and the fastest reasoning model available, producing and refining tokens in parallel instead of one at a time.

260K ctx$0.04/$0.15 per M

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

1.0M ctx$0.30/$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
Cheaper92%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
260K
Context
66K
Max output
Sep 2026
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input87%$0.04/M tokens
Output94%$0.15/M tokens
Cache read87%$0.004/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 Mercury 2.5Go to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Mercury 2.5 vs Gemini 3.5 Flash-Lite▼

Which is better, Mercury 2.5 or Gemini 3.5 Flash-Lite?

▼

Both Mercury 2.5 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, Mercury 2.5 or Gemini 3.5 Flash-Lite?

▼

Mercury 2.5 has a lower blended cost. Mercury 2.5: $0.04 input / $0.15 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.

Which has a larger context window, Mercury 2.5 or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Mercury 2.5 supports 260K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Mercury 2.5 and Gemini 3.5 Flash-Lite support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Mercury 2.5 does not.

What are the key differences between Mercury 2.5 and Gemini 3.5 Flash-Lite?

▼

Key differences: Mercury 2.5 is significantly cheaper; 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 Mercury 2.5 and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

Open in App