DEPRECATED1M CONTEXTLIVE PRICE ROWREPLACE WITH GEMINI-2-5-FLASH-LITE
Gemini 2.0 Flash-Lite API Pricing
Google's deprecated Gemini 2.0 Flash-Lite row, still priced on the live Gemini API pricing page until shutdown: $0.075/M input, $0.3/M output, with no cache discount listed. Marked deprecated by Google.
Input - per 1M tokens
$0.07/M
Standard price deprecated
Output - per 1M tokens
$0.30/M
Standard output deprecated
Cache N/A - billed as input
$0.07/M
No cache price listed N/A
Effective - agentic blend
$0.09/M
92/8 split - 82% cache
§ 01 / TERMINAL
Run the numbers.
Calculator pre-loaded with Gemini 2.0 Flash-Lite deprecated rates. Google lists Gemini 2.0 Flash-Lite at $0.075/M input and $0.30/M output. The pricing table lists no context caching or grounding support for this model.
$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
—
Words equivalent (English)
—
Effective rate
—
§ 02 / SCENARIOS
Real-world presets.
LEGACY
Legacy app request
$0.002/request
MIGRATION
2.5 migration test
$0.008/test
DOCS
Document pack analysis
$0.017/pack
RAG
Support RAG answer
$0.015/answer
§ 03 / TAPE
Price history.
Input · $0.07/M
Output · $0.30/M
Cached · $0.07/M
FEB 25 Released gemini-2-0-flash-liteFEB 18 Deprecation announced by Google release notesJUN 01 Scheduled shutdown; replacement is gemini-2-5-flash-liteMAY 18 Price row verified on Google Gemini API pricing page
§ 04 / TOKENIZER
Paste text. See tokens. See cost.
Estimate · gemini-tokenizer-estimate · ≈3.85 chars/token Auto-counts as you type
This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.
Characters —
Words —
Tokens (estimated) —
Cost as input · uncached —
Cost as output · uncached —
Cost as cached input —
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| Gemini 2.0 Flash-Lite Current | $0.07 | $0.30 | $0.09 agentic 92/8 | 1M | Legacy budget-tier invoices |
| Gemini 3.1 Pro Preview | $2.00 cache $0.20 | $12.00 | $1.44 current replacement | 1M | Current Gemini Pro preview |
| Gemini 3 Flash Preview | $0.50 cache $0.05 | $3.00 | $0.36 newer flash preview | 1M | Current Gemini 3 Flash |
| Gemini 3.1 Flash-Lite | $0.25 cache $0.03 | $1.50 | $0.18 new light tier | 1M | Current high-volume Gemini |
| Gemini 2.5 Pro | $1.25 cache $0.13 | $10.00 | $1.10 stable pro | 2M | Stable Pro replacement |
| Gemini 2.5 Flash | $0.30 cache $0.03 | $2.50 | $0.27 stable flash | 1M | Stable Flash replacement |
| Gemini 2.5 Flash-Lite | $0.10 cache $0.01 | $0.40 | $0.06 stable lite | 1M | Stable Lite replacement |
| GPT-5.4 mini | $0.75 cache $0.07 | $4.50 | $0.54 OpenAI mini | 400K | OpenAI mini alternative |
Frequently asked.
Gemini 2.0 Flash-Lite pricing questions, with archive/deprecation status separated from token math.
Q · 01 What is Gemini 2.0 Flash-Lite's API price? +
Google still lists this row on the live Gemini pricing page. The page uses
$0.075/M input and $0.3/M output.Q · 02 Is Gemini 2.0 Flash-Lite still available? +
It is deprecated. Google's pricing page warns that
gemini-2-0-flash-lite will be shut down on 2026-06-01, with gemini-2-5-flash-lite as the migration target.Q · 03 Does prompt caching apply? +
No current cache price is listed for this model. For blended math, this page treats cached input as regular input at
$0.075/M rather than inventing a discount.Q · 04 How should I use this page? +
Use it to estimate legacy spend during migration and to compare the old 2.0 rate against current Gemini 2.5 and Gemini 3 alternatives. New production work should move to the recommended replacement before shutdown.
Q · 05 What about Batch and Flex pricing? +
Batch is listed at $0.0375/M input and $0.15/M output. Context caching is not available for Gemini 2.0 Flash-Lite.
Q · 06 How accurate is the tokenizer estimate? +
The widget uses
4.0 characters per token as a Gemini planning estimate. Exact billing can differ by language, media inputs, tool calls, and how Google tokenizes multimodal content.