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Gemini 3.5 Flash-Lite vs Schematron V2 Turbo

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

Inference.net's high-throughput extraction specialist: a 3B model that turns HTML pages into structured JSON.

128K ctx$0.03/$0.15 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
Sources:Epoch AI·OpenRouter· as of 2026-10-02
Reasoning & Knowledge
Graduate Science83.3%
Math
Competition Math71.1%
Agentic
Novel Reasoning10.3%
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper93%
Reasoning & Knowledge
Graduate Science—
Math
Competition Math—
Agentic
Novel Reasoning—
Specs
1.0M
Context
66K
Max output
Jul 2026
Released
128K
Context
8K
Max output
Sep 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
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
Live pricing, shown before you run
Input90%$0.03/M tokens
Output94%$0.15/M tokens
Cache read$0.03/M tokens
Chat with Gemini 3.5 Flash-LiteGo to model
Chat with Schematron V2 TurboGo to model
Frequently Asked Questions: Gemini 3.5 Flash-Lite vs Schematron V2 Turbo▼

Which is better, Gemini 3.5 Flash-Lite or Schematron V2 Turbo?

▼

Both Gemini 3.5 Flash-Lite and Schematron V2 Turbo 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 Schematron V2 Turbo?

▼

Schematron V2 Turbo has a lower blended cost. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output. Schematron V2 Turbo: $0.03 input / $0.15 output.

Which has a larger context window, Gemini 3.5 Flash-Lite or Schematron V2 Turbo?

▼

Gemini 3.5 Flash-Lite has a larger context window: Gemini 3.5 Flash-Lite supports 1M tokens vs Schematron V2 Turbo at 128K tokens.

Do both Gemini 3.5 Flash-Lite and Schematron V2 Turbo support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Schematron V2 Turbo does not.

What are the key differences between Gemini 3.5 Flash-Lite and Schematron V2 Turbo?

▼

Key differences: Schematron V2 Turbo is significantly cheaper; 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 Gemini 3.5 Flash-Lite and Schematron V2 Turbo for free on idapt.app to see which performs better for your specific needs.

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