ModelBench
Google logo
Models/Google

Google: Gemini 2.0 Flash-Lite

Low-latency Gemini model for high-volume multimodal and agent workloads

Source-linked gemini-flash-lite Closed weights Released 2024-12-11
API record Report
InputT
OutputT
Input price$0.052/M
Output price$0.21/M
Context1.04858M
Max output8.192K
Providers2
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Gemini 2.0 Flash-Lite
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Poe google/gemini-2.0-flash-lite 990K 8.192K $0.052 $0.21 — Tools Docs ↗
Google gemini-2.0-flash-lite 1.04858M 8.192K $0.075 $0.3 — ToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.052/M

Across 2 priced providers

Median input $0.064/M

Midpoint of listed rates

Highest input $0.075/M

1.4× the lowest listed rate

Output range $0.21 – $0.3

Per million output tokens

Poe $0.052/MLowest
Google $0.075/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 990K to 1.04858M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

× Reasoning No
✓ Tool calling Yes
? Structured output Unknown
✓ Attachments Yes
✓ Vision input Yes
× Open weights No
Creator
Google
Model family
gemini-flash-lite
Knowledge cutoff
2024-06
License
Not documented
Release date
2024-12-11
Model ID
google/gemini-2.0-flash-lite
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
No published benchmark results

ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.

Read the methodology
Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Price Completion0.3 → 0.21
Price Prompt0.075 → 0.052
Price Completion0.21 → 0.3
Price Prompt0.052 → 0.075
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/google/gemini-2.0-flash-lite
curl
curl "https://model.kyssta.lol/api/v1/models/google/gemini-2.0-flash-lite"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Gemini 2.0 Flash-Lite?

Low-latency Gemini model for high-volume multimodal and agent workloads. It is published by Google and catalogued here from Models.dev.

How much does Gemini 2.0 Flash-Lite cost?

Listed input pricing starts at $0.052 per million tokens from Poe, rising to $0.075 across 2 listed providers.

What is the context length of Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite accepts up to 1.04858M tokens of context and returns up to 8.192K output tokens.

Does Gemini 2.0 Flash-Lite support tool calling and structured output?

Provider catalogs list support for tool calling, and image input.

Which providers serve Gemini 2.0 Flash-Lite?

2 providers list this model: Poe, Google.

Are the weights for Gemini 2.0 Flash-Lite open?

No. This model is served through hosted APIs only.

When was Gemini 2.0 Flash-Lite released?

The catalog records a release date of 2024-12-11, last verified Sep 11, 2026.

More models from Google

View all →
Google: Gemma 3n 4B

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...

32.768K ctx $0.06/M in Google: Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

1.04858M ctx $1.25/M in Google: Gemma 2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

8.192K ctx $0.65/M in Deep Research Max Preview

Maximum-comprehensiveness agentic researcher for multi-step investigation, synthesis, and cited reports

1.04858M ctx