Google: Gemini 2.0 Flash Lite
Analysis Summary
Gemini 2.0 Flash Lite is Google's ultra-low-cost multimodal model, supporting text, image, file, audio, and video inputs with a 1M token context window. Tool use and function calling are included, and its MMLU-Pro score of 0.779 reflects reasonable general knowledge breadth for its price tier.
For businesses, it is best suited to high-volume, cost-sensitive tasks where multimodal input handling is valuable: document processing, content summarisation, and lightweight automation. Its agentic index of 16.7 and terminal benchmark score are modest, so complex multi-step agent workflows are better served by stronger models.
At $0.075 input and $0.30 output per million tokens, it is one of the most affordable multimodal options available. Teams needing to process large volumes of mixed-media content at minimal cost will find it a practical choice, particularly where Google ecosystem integration is already in place.
Assessed June 17, 2026
Editorial notes
Gemini 2.0 Flash Lite from Google pairs a 1M token context window with multimodal input support across text, image, audio, and video, at just $0.075 input per million tokens.
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 #196 of 380 AI models we track for overall intelligence, #205 of 317 for coding, #203 of 292 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 #205 of 317 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.
