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Google pricing

Gemini 3.1 Flash Lite API Pricing & Cost Calculator

Gemini 3.1 Flash Lite runs at $0.25 input / $1.50 output per 1M tokens with a 1049K context window — cheaper than Gemini 3.5 Flash Lite ($0.30/$2.50) but a generation behind it. A 1,000-in / 500-out call costs $0.00100. Google lists a retirement date of 2027-05-07, so treat it as a cost floor rather than a long-term choice.

Google plans to retire Gemini 3.1 Flash Lite on 2027-05-07

Pricing below is still current. Worth factoring the retirement date into anything you are building on it long-term.

Still available from Google: Gemini 3.1 Pro, Gemini 3.5 Flash, Gemini 3.8 Flash Cyber

Input
$0.25
per 1M tokens
Output
$1.50
per 1M tokens
Context window
1.05M
tokens
Listed here
2026-08
≈ Estimated tokenizer·$0.25 in·$1.50 out (per 1M)
Quick start with a use case
Total cost per call$0.001000
Input$0.000250
Output$0.000750
Cost comparison
Standard
$0.001000
With Caching
$0.000888
Save 11% ↓
With Batch
$0.000500
Save 50% ↓
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

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Detailed pricing

Gemini 3.1 Flash Lite pricing breakdown

All pricing dimensions including caching and batch discounts.

TypePrice (per 1M tokens)
Input$0.2500
Output$1.5000
Cached input$0.0250
Batch input$0.1250
Batch output$0.7500
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-10-31 · Google official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

Gemini 3.1 Flash Lite vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

ModelPer call
Gemini 3.1 Flash Lite
Google · this page
$0.001000
GPT-6 Luna
OpenAI
$0.000350
Claude Haiku 5.5
Anthropic
$0.000350
DeepSeek V3.2
DeepSeek
$0.000480
GPT-5.6 Luna
OpenAI
$0.000800
DeepSeek V4-Flash
DeepSeek
$0.000900
Recommended use

When to choose Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite shines for high-throughput, low-latency tasks, general-purpose tasks, long documents and large codebases, and image and document understanding. Token counts are estimated within ~10-20% margin.

✓Context window of 1.05M tokens handles entire codebases or book-length documents.
✓Prompt caching available — significant savings for repeated system prompts.
✓Batch API support for non-realtime workloads at ~50% discount.
✓Tool / function calling supported.
FAQ

Frequently asked questions

Gemini 3.1 Flash Lite costs $0.25 per 1M input tokens and $1.50 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0010. Use the calculator above to estimate your specific use case.
Gemini 3.1 Flash Lite supports a 1.05M token context window with a max output of 65,536 tokens.
Yes. Cached input is priced at $0.03 per 1M tokens — 90% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.
Yes. Gemini 3.1 Flash Lite supports the Batch API at $0.13 input / $0.75 output per 1M tokens — typically 50% off standard pricing. Batch jobs complete within ~24 hours, ideal for non-realtime workloads like overnight data processing or content generation pipelines.
Yes, Gemini 3.1 Flash Lite accepts image input. Vision token pricing is generally calculated based on image dimensions and folded into the input token count. Specific image-specific pricing varies — refer to Google's official documentation.
Token counts for Gemini 3.1 Flash Lite are estimated from character ratios (~10-20% margin). Cost calculations use prices verified on 2026-10-31. For final billing accuracy, always verify with Google's usage dashboard.
Gemini 3.1 Flash Lite does not currently support fine-tuning. Consider another model in the Google family if fine-tuning is required.
Related

Other models you might consider

OpenAI
GPT-6 Luna
The cheapest model on this site — with a 922K context window
$0.10 in$0.50 out
Anthropic
Claude Haiku 5.5
$0.10/$0.50 — but only for prompts up to 100K tokens
$0.10 in$0.50 out
DeepSeek
DeepSeek V3.2
DeepSeek's open-weight MoE — top cost/quality ratio
$0.28 in$0.40 out
OpenAI
GPT-5.6 Luna
The cheapest long-context model OpenAI ships — 20x under the flagship
$0.20 in$1.20 out
DeepSeek
DeepSeek V4-Flash
1M context at budget pricing — $0.30/$1.20
$0.30 in$1.20 out