Gemini 2.5 Flash-Lite API Pricing: Google's Cheapest Model at $0.10/M Tokens

Q: How much does Gemini 2.5 Flash-Lite cost?

Gemini 2.5 Flash-Lite costs $0.10 per million input tokens and $0.40 per million output tokens. Batch API pricing is 50% cheaper at $0.05/$0.20. This makes it Google's cheapest general-purpose model.

Q: What is the context window of Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite has a 1M token context window — the same as Google's most expensive models. This is 7.8x larger than GPT-5 nano's 128K window, at only 2x the price.

Q: What can Gemini 2.5 Flash-Lite be used for?

Classification, data extraction, content moderation, document processing (up to 1M tokens), image analysis, translation, summarization, and simple Q&A. For complex reasoning or agentic workflows, upgrade to Gemini 2.5 Flash ($0.30/$2.50) or Gemini 3.1 Pro ($2/$12).

Gemini 2.5 Flash-Lite is Google's lowest-cost general-purpose model — 1M context, vision support, and batch API at 50% off.

Updated Aug 9, 2026 · 93 models tracked across 11 providers

TL;DR

Price: $0.10/M input, $0.40/M output — Google's cheapest general-purpose model
Batch API: $0.05/M input, $0.20/M output — 50% cheaper for async workloads
Context: 1M tokens — same as Google's most expensive models, 7.8x larger than GPT-5 nano
Vision: Yes — text, image, and video input supported. One of the cheapest multimodal models
Provider: Google AI (ai.google.dev)
Best for: High-volume classification, document processing, image analysis, translation, content moderation
Trade-off: Less capable reasoning than Gemini 2.5 Flash ($0.30/$2.50) or Gemini 3.1 Pro ($2/$12)

Gemini 2.5 Flash-Lite Pricing Breakdown

At $0.10 per million input tokens and $0.40 per million output tokens, Gemini 2.5 Flash-Lite is Google's cheapest model. With batch API, the price drops to $0.05/$0.20 — making it one of the cheapest ways to process large volumes of text or images.

Monthly Volume	Standard Input	Standard Output	Batch Input	Batch Output
1M tokens	$0.10	$0.40	$0.05	$0.20
10M tokens	$1.00	$4.00	$0.50	$2.00
100M tokens	$10.00	$40.00	$5.00	$20.00
1B tokens	$100.00	$400.00	$50.00	$200.00

At 100M tokens/month with batch API, Gemini 2.5 Flash-Lite costs just $25. The same volume on GPT-5.4 nano would cost $350, and on Claude Haiku 4.5 it would cost $1,500.

How Gemini 2.5 Flash-Lite Compares to Other Budget Models

Model	Input $/M	Output $/M	Context	Vision	Provider
Qwen 3.7 Flash	$0.03	$0.13	1M	✅	Alibaba
GPT-5 nano	$0.05	$0.40	128K	❌	OpenAI
GPT-oss 20B	$0.08	$0.35	128K	❌	OpenAI (self-host)
Gemini 2.5 Flash-Lite	$0.10	$0.40	1M	✅	Google
Ministral 3 3B	$0.10	$0.10	128K	❌	Mistral
DeepSeek V4 Flash	$0.14	$0.28	1M	❌	DeepSeek
Mistral Small 4	$0.15	$0.60	128K	❌	Mistral

Gemini 2.5 Flash-Lite is the cheapest model with both 1M context AND vision support from a major US provider. Only Qwen 3.7 Flash ($0.03/$0.13) is cheaper, but that's from Alibaba — some enterprises prefer Google's infrastructure and data residency options.

Google Flash-Lite Family: Which Tier to Choose

Google offers three Flash-Lite tiers. Here's how they compare:

Model	Input $/M	Output $/M	Context	Best For
Gemini 2.5 Flash-Lite	$0.10	$0.40	1M	Cheapest option, batch workloads
Gemini 3.1 Flash-Lite	$0.25	$1.50	1M	Better quality, still budget
Gemini 3.5 Flash-Lite	$0.30	$2.50	1M	Latest generation, best quality

Rule of thumb: Use Gemini 2.5 Flash-Lite for high-volume, cost-sensitive tasks. Upgrade to 3.1 Flash-Lite when you need better reasoning or more accurate extraction. Use 3.5 Flash-Lite for tasks where quality matters most but you still want budget pricing.

Batch API: 50% Off for Async Workloads

Gemini 2.5 Flash-Lite supports batch API at half price — $0.05/M input and $0.20/M output. This is ideal for:

Overnight processing: Run large classification or extraction jobs while you sleep
Data pipeline backfills: Reprocess historical data at 50% cost
Report generation: Batch summarize documents, emails, or tickets
Training data preparation: Label, classify, or extract features at scale

At batch pricing, Gemini 2.5 Flash-Lite is cheaper than Qwen 3.7 Flash ($0.03/$0.13) on output tokens — $0.20 vs $0.13 is close, but you get 1M context and Google's infrastructure.

When to Use Gemini 2.5 Flash-Lite

📊 Classification

Sentiment analysis, intent detection, content categorization. Batch API makes high-volume classification extremely cheap.

📄 Document Processing

Parse invoices, contracts, or reports up to 1M tokens. Extract structured data from long documents in a single call.

🖼️ Image Analysis

Describe images, extract text from screenshots, classify visual content. One of the cheapest vision models available.

🛡️ Content Moderation

Flag inappropriate text and images. Process millions of items at minimal cost with batch API.

🌐 Translation

Translate documents, product listings, or user-generated content. Good quality for the price, especially with batch API.

📝 Summarization

Summarize long documents, meeting transcripts, or support tickets. 1M context handles even very long inputs.

When NOT to Use Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite is optimized for speed and cost, not complexity. Upgrade when you need:

Complex reasoning: Multi-step logic, math, or code generation → use Gemini 2.5 Flash ($0.30/$2.50) or Claude Sonnet 5 ($2/$10)
Nuanced writing: Creative content, marketing copy, or tone-sensitive communication → use Claude Opus 5 ($5/$25)
Agentic workflows: Tool use, multi-step planning, or autonomous decision-making → use Gemini 3.1 Pro ($2/$12) or Claude Sonnet 5
Cheapest possible: If you need the absolute lowest price → use Qwen 3.7 Flash ($0.03/$0.13)

Real-World Cost Scenario

Let's say you're building a document processing pipeline that processes 50,000 documents per month, with an average of 2,000 input tokens and 500 output tokens per document:

Model	Monthly Input	Monthly Output	Total
Qwen 3.7 Flash	$3.00	$3.25	$6.25
Gemini 2.5 Flash-Lite (Batch)	$5.00	$5.00	$10.00
Gemini 2.5 Flash-Lite (Standard)	$10.00	$10.00	$20.00
GPT-5 nano	$5.00	$10.00	$15.00
Gemini 3.1 Flash-Lite	$25.00	$37.50	$62.50
Claude Haiku 4.5	$100.00	$125.00	$225.00

At batch pricing, Gemini 2.5 Flash-Lite costs $10/month for 50K documents — just 60% more than Qwen 3.7 Flash, but with Google's infrastructure and 1M context window.

Frequently Asked Questions

How much does Gemini 2.5 Flash-Lite cost?

$0.10 per million input tokens and $0.40 per million output tokens. Batch API pricing is 50% cheaper at $0.05/$0.20. This makes it Google's cheapest general-purpose model.

What is the context window of Gemini 2.5 Flash-Lite?

1M tokens — the same as Google's most expensive models. This is 7.8x larger than GPT-5 nano's 128K window, at only 2x the price.

Does Gemini 2.5 Flash-Lite support vision?

Yes. Gemini 2.5 Flash-Lite supports text, image, and video input. It's one of the cheapest multimodal models available — only Qwen 3.7 Flash ($0.03/$0.13) is cheaper for vision tasks.

Is Gemini 2.5 Flash-Lite cheaper than GPT-5 nano?

GPT-5 nano ($0.05/$0.40) is cheaper on input (2x) but the same on output. However, Gemini 2.5 Flash-Lite offers 1M context (vs 128K), vision support, and batch API at $0.05/$0.20 — making it cheaper at scale for multimodal or long-context workloads.

Is Gemini 2.5 Flash-Lite being deprecated?

No. Gemini 2.5 Flash-Lite is a current stable model. Google has deprecated Gemini 2.0 Flash and 2.0 Flash Lite (replaced by 3.x versions), but 2.5 Flash-Lite remains available.

What can Gemini 2.5 Flash-Lite be used for?

Classification, data extraction, document processing, image analysis, content moderation, translation, and summarization — any high-volume task where you need 1M context or vision at the lowest Google price. For complex reasoning, upgrade to Gemini 2.5 Flash or Gemini 3.1 Pro.

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