gemini-2.0-flash-lite

vertex_ai-language-models · Chat model

gemini-2.0-flash-lite is listed here as a chat model from vertex_ai-language-models. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

vertex_ai-language-models-gemini-2-0-flash-lite

Lifecycle Deprecation date: June 1, 2026

Input

$0.0750 / 1M tokens

Output

$0.3000 / 1M tokens

Cached input

$0.0187 / 1M tokens

Context window

N/A

Catalog generated: Jul 13, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item	Price
Input	$0.0750 / 1M tokens
Output	$0.3000 / 1M tokens
Cached input	$0.0187 / 1M tokens
Audio input	$0.0750 / 1M tokens
Embedding	$0.0750 / 1M tokens

Limits

Max input tokens

1.0M

Max output tokens

8.2K

Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	Supported
Function calling	Supported
Parallel function calling	Supported
Tool choice	Supported
Prompt caching	Supported
Reasoning	-
Response schema	Supported
System messages	Supported
Audio input	-
Audio output	Supported
Web search	Supported
PDF input	-
Video input	-

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark	Score	Metric	Scope	Checked	Source
MMLU-Pro	77.6%	accuracy	Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA))	2026-05-31	Link
LiveCodeBench v5	34.5%	accuracy	Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA))	2026-05-31	Link
GPQA Diamond	60.1%	accuracy	Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA))	2026-05-31	Link
MATH	90.9%	accuracy	Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA))	2026-05-31	Link
FACTS Grounding	84.6%	accuracy	Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA))	2026-05-31	Link
MMLU-Pro	71.6%	accuracy	Base model: Gemini 2.0 Flash-Lite (Gemini 2.0 Flash-Lite (Public Preview))	2026-05-31	Link
LiveCodeBench v5	28.9%	accuracy	Base model: Gemini 2.0 Flash-Lite (Gemini 2.0 Flash-Lite (Public Preview))	2026-05-31	Link
GPQA Diamond	51.5%	accuracy	Base model: Gemini 2.0 Flash-Lite (Gemini 2.0 Flash-Lite (Public Preview))	2026-05-31	Link
MATH	86.8%	accuracy	Base model: Gemini 2.0 Flash-Lite (Gemini 2.0 Flash-Lite (Public Preview))	2026-05-31	Link
FACTS Grounding	83.6%	accuracy	Base model: Gemini 2.0 Flash-Lite (Gemini 2.0 Flash-Lite (Public Preview))	2026-05-31	Link

Sources

Source links	Row source LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z

Docs

Official docs

Model docs