Gemini 3.5 Flash-Lite API Pricing: Google's Thinking Budget Model at $0.30/M Tokens

Q: How much does Gemini 3.5 Flash-Lite cost?

Gemini 3.5 Flash-Lite costs $0.30 per million input tokens and $2.50 per million output tokens. Output pricing includes thinking tokens, so there are no surprise charges from hidden reasoning steps.

Q: What is the context window of Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite has a 1M token context window. This is one of the largest context windows in the budget tier, matching other Google Flash models and exceeding GPT-5.4 nano's 400K context.

Q: What can Gemini 3.5 Flash-Lite be used for?

Gemini 3.5 Flash-Lite is ideal for tasks that need reasoning at budget prices: data analysis, code generation, document Q&A, classification with nuance, and customer support. The 1M context window handles long documents, and vision support enables multimodal tasks.

Gemini 3.5 Flash-Lite is Google's cheapest thinking model — built-in reasoning at $0.30/$2.50 with 1M context, vision, and no hidden thinking token charges.

Updated Aug 10, 2026 · 93 models tracked across 11 providers

TL;DR

Price: $0.30/M input, $2.50/M output — Google's cheapest thinking model. Output price includes thinking tokens
Context: 1M tokens — one of the largest context windows in the budget tier
Vision: Yes — text + image input supported. Multimodal reasoning at budget pricing
Thinking: Yes — built-in step-by-step reasoning. Thinking tokens included in output price, no surprise charges
Provider: Google AI (ai.google.dev)
Best for: Tasks needing reasoning at budget prices — data analysis, code generation, document Q&A, nuanced classification

Gemini 3.5 Flash-Lite Pricing Breakdown

At $0.30 per million input tokens and $2.50 per million output tokens, Gemini 3.5 Flash-Lite is Google's cheapest model with thinking capability. The output price includes all reasoning tokens, so you won't get surprise charges from hidden chain-of-thought steps.

Monthly Volume	Input Cost	Output Cost	Total Cost
1M tokens	$0.30	$2.50	$2.80
10M tokens	$3.00	$25.00	$28.00
100M tokens	$30.00	$250.00	$280.00
1B tokens	$300.00	$2,500.00	$2,800.00

At 100M tokens/month, Gemini 3.5 Flash-Lite costs $280. The same volume on Gemini 3.1 Flash-Lite (no thinking) would cost $175, and on Gemini 3 Flash it would cost $350.

How Gemini 3.5 Flash-Lite Compares to Other Budget Models

Model	Input $/M	Output $/M	Context	Vision	Thinking	Provider
Qwen 3.7 Flash	$0.03	$0.13	1M	✅	❌	Alibaba
DeepSeek V4 Flash	$0.14	$0.28	1M	❌	❌	DeepSeek
GPT-5.4 nano	$0.20	$1.25	400K	❌	❌	OpenAI
Gemini 3.1 Flash-Lite	$0.25	$1.50	1M	✅	❌	Google
Gemini 3.5 Flash-Lite	$0.30	$2.50	1M	✅	✅	Google
Gemini 3 Flash	$0.50	$3.00	1M	✅	❌	Google
GPT-5.4 mini	$0.75	$4.50	400K	❌	❌	OpenAI
Claude Haiku 4.5	$1.00	$5.00	200K	❌	❌	Anthropic

Gemini 3.5 Flash-Lite is the only sub-$1 model with both thinking capability and 1M context. For tasks that need step-by-step reasoning (data analysis, nuanced classification, document Q&A), it offers the best value in the budget tier.

Google Flash-Lite Family: Which One Should You Choose?

Model	Input $/M	Output $/M	Thinking	Best For
Gemini 2.5 Flash-Lite	$0.10	$0.40	❌	Cheapest Google option — simple extraction, classification
Gemini 3.1 Flash-Lite	$0.25	$1.50	❌	Budget multimodal — faster, no thinking overhead
Gemini 3.5 Flash-Lite	$0.30	$2.50	✅	Budget reasoning — step-by-step logic, analysis

Rule of thumb: Use Gemini 2.5 Flash-Lite for simple, high-volume tasks. Use Gemini 3.1 Flash-Lite when you need better quality but no reasoning. Use Gemini 3.5 Flash-Lite when tasks need step-by-step thinking — the 20% price premium over 3.1 often pays for itself in output quality.

When to Use Gemini 3.5 Flash-Lite

📊 Data Analysis

Analyze datasets, identify patterns, generate insights. Thinking capability handles multi-step analysis without upgrading to a premium model.

💻 Code Generation

Generate and debug code with step-by-step reasoning. Catches edge cases that non-thinking models miss, at budget pricing.

📄 Document Q&A

Answer complex questions about long documents. 1M context handles entire codebases or legal contracts; thinking improves answer quality.

🏷️ Nuanced Classification

Classification tasks that need reasoning — intent detection, sentiment with nuance, multi-label categorization. Thinking helps with ambiguous cases.

🛡️ Customer Support

Handle complex support queries that need multi-step reasoning. Better quality than non-thinking budget models for tricky issues.

🔍 Research Synthesis

Synthesize information from multiple sources, compare arguments, identify gaps. Thinking capability enables deeper analysis at low cost.

When NOT to Use Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is great for budget reasoning, but consider alternatives when:

Simple extraction/classification: Gemini 2.5 Flash-Lite ($0.10/$0.40) or Qwen 3.7 Flash ($0.03/$0.13) are 3-8x cheaper when thinking isn't needed
Pure cost optimization: DeepSeek V4 Flash ($0.14/$0.28) is cheaper for text-only tasks that don't need reasoning
Complex agentic tasks: Gemini 3.5 Flash ($1.50/$9.00) or Claude Sonnet 5 ($2/$10) have much stronger reasoning
Creative/nuanced writing: Claude Opus 5 ($5/$25) or GPT-5.4 ($2.50/$15) produce better creative output
When thinking tokens inflate output: If your task generates lots of reasoning steps, the $2.50/M output can add up — consider Gemini 3.1 Flash-Lite ($0.25/$1.50) for simpler tasks

Real-World Cost Scenario

Let's say you're building a document analysis pipeline that processes 25,000 documents per month, with an average of 3,000 input tokens and 800 output tokens (including thinking) per document:

Model	Monthly Input	Monthly Output	Total
Qwen 3.7 Flash	$2.25	$2.60	$4.85
DeepSeek V4 Flash	$10.50	$5.60	$16.10
Gemini 3.1 Flash-Lite	$18.75	$30.00	$48.75
Gemini 3.5 Flash-Lite	$22.50	$50.00	$72.50
Gemini 3 Flash	$37.50	$60.00	$97.50
Claude Haiku 4.5	$75.00	$100.00	$175.00

Gemini 3.5 Flash-Lite costs $72.50/month for 25K document analyses — 50% more than Gemini 3.1 Flash-Lite (no thinking) but 26% cheaper than Gemini 3 Flash (also no thinking). The thinking capability often produces better analysis, making the premium worthwhile.

Frequently Asked Questions

How much does Gemini 3.5 Flash-Lite cost?

$0.30 per million input tokens and $2.50 per million output tokens. Output pricing includes thinking tokens, so there are no surprise charges from hidden reasoning steps.

What is the context window of Gemini 3.5 Flash-Lite?

1M tokens. This is one of the largest context windows in the budget tier, matching other Google Flash models and exceeding GPT-5.4 nano's 400K context.

Does Gemini 3.5 Flash-Lite have thinking capability?

Yes. Gemini 3.5 Flash-Lite is Google's cheapest model with built-in thinking (reasoning) capability. Thinking tokens are included in the output price ($2.50/M), so you don't pay separately for reasoning steps.

How does it compare to Gemini 3.1 Flash-Lite?

Gemini 3.5 Flash-Lite ($0.30/$2.50) is slightly more expensive than Gemini 3.1 Flash-Lite ($0.25/$1.50) but adds thinking capability. The 3.5 version can reason through complex problems step-by-step, while 3.1 is a pure fast-inference model.

What can Gemini 3.5 Flash-Lite be used for?

Data analysis, code generation, document Q&A, nuanced classification, customer support, and research synthesis — any task that benefits from step-by-step reasoning at budget prices.

Calculate Your Gemini 3.5 Flash-Lite Costs

Enter your token counts and see exactly what you'd pay. Compare against 93 other models instantly.

Open Calculator → See Full Ranking