Google: Gemini 2.0 Flash Lite
Analysis Summary
Gemini 2.0 Flash Lite is Google's ultra-low-cost multimodal model, with an intelligence index of 18.5 and support for text, image, file, audio, and video inputs. Tool use and function calling are included, and the 1M token context window is a significant advantage for large-document or long-session workflows. Coding and agentic scores are limited but functional.
For businesses, it is best suited to high-volume, cost-sensitive pipelines where multimodal input handling and large context capacity matter more than frontier reasoning. Content processing, media tagging, document summarisation, and basic automation are natural fits. It is not suitable for complex reasoning, advanced coding, or high-stakes analytical tasks.
At $0.075 input and $0.30 output per million tokens, it is one of the most affordable models with this breadth of capability. Teams running large-scale content operations or needing a cheap multimodal backbone for automated pipelines will find it hard to beat on cost-efficiency.
Assessed June 6, 2026
Editorial notes
Gemini 2.0 Flash Lite from Google offers full multimodal input support, tool use, function calling, and a 1M token context window at the lowest price point in its class.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemini 2.0 Flash Lite compares
Google: Gemini 2.0 Flash Lite ranks #191 of 378 AI models we track for overall intelligence, #204 of 315 for coding, #201 of 289 for agentic tasks. Its 1M-token context window is larger than 97% of the models we list. At $0.08 per million input tokens it is cheaper than 69% of comparable models.
About Google: Gemini 2.0 Flash Lite
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintaining quality on par with larger models like Gemini Pro 1.5,..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemini 2.0 Flash Lite stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000075 |
| Output | $0.30 | $0.000300 |
Leaderboard Categories
External Resources
Frequently asked questions about Google: Gemini 2.0 Flash Lite
How much does Google: Gemini 2.0 Flash Lite cost?
Google: Gemini 2.0 Flash Lite costs $0.08 per million input tokens and $0.30 per million output tokens.
What is the context window of Google: Gemini 2.0 Flash Lite?
Google: Gemini 2.0 Flash Lite has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 2.0 Flash Lite good for coding?
On our coding benchmark index, Google: Gemini 2.0 Flash Lite ranks #204 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemini 2.0 Flash Lite do?
Google: Gemini 2.0 Flash Lite supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.0 Flash Lite?
Google: Gemini 2.0 Flash Lite is developed by Google and was released on February 25, 2025.
