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Gemini 3.1 Flash-Lite

Google · High-volume light tasks, Translation & data processing

TextImage understandingVideo understanding High-volume light tasksTranslation & data processing

Gemini 3.1 Flash-Lite is Google's model for high-volume light tasks such as translation and data processing. It supports text, image and video understanding with a 1024K context window, billed in USD per 1M tokens.

API pricing (official list price, USD per 1M tokens)

Input (cache miss)$0.25
Output$1.5
Cache hit$0.025
Time-based pricing Single price around the clock
Billing currencyUSD (US dollars) — the vendor's original billing currency, not converted

Specifications

Context window1024K tokens
ModalitiesText, Image understanding, Video understanding
Noted featuresHigh-volume light tasks, Translation & data processing
Vendor / channelGoogle
Price sourceGoogle AI pricing
Verified2026-10-28

Site calculation: estimated monthly cost at default usage

Site calculation, not a vendor quote. Assumptions: 100 calls/day · 2000 input / 800 output tokens per call · 30-day month · 30% cache hit rate. Same formula as the cost calculator.

Effective input price30% × $0.025 (cache hit) + 70% × $0.25 (standard) = 0.18 USD/1M tokens
Input cost100 × 30 × (2000 ÷ 1,000,000) × 0.18 = $1.10
Output cost100 × 30 × (800 ÷ 1,000,000) × $1.5 = $3.60
Estimated monthly cost$4.69

Notes and limitations

· Prices are official published list prices per 1M tokens in the original billing currency (here CNY). Limited-time promotions, resource packs and subscription discounts are not included; the vendor's console prevails.

· "Verified" is the date this page's figures were last checked against the official source linked above. Pricing changes over time — confirm on the source page before making decisions.

· The monthly cost above is this site's own calculation under fixed usage assumptions. It is not a vendor quote and does not constitute purchase advice.

· This page records no benchmark results and claims no leadership on any task. Editor's note: this page records official pricing and specifications only and makes no quality or performance ranking claims. Evaluate output quality on your own workloads before committing.

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