Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 2.0 Flash-Lite

Google

Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemini 2.5 Flash-Lite

Google

Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash-Lite

$0.13 cheaper
Input:$0.07
Output:$0.30
Google

Gemini 2.5 Flash-Lite

Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash-Lite

Max Context:1.1M
Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M

Average performance across 5 common benchmarks

Google

Gemini 2.0 Flash-Lite

Average Score:60.6%
Google

Gemini 2.5 Flash-Lite

+2.1%
Average Score:62.7%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash-Lite

factuality
83.6%
vision
68.0%
general
+19.7%
55.5%
code
28.9%
Google

Gemini 2.5 Flash-Lite

factuality
+0.5%
84.1%
vision
+4.9%
72.9%
general
35.8%
code
+13.6%
42.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

2024-06-01

Gemini 2.5 Flash-Lite

2025-01-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemini 2.5 Flash-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
Google

Gemini 2.0 Flash-Lite

Avg Score:60.6%
Providers:1
Google

Gemini 2.5 Flash-Lite

+2.1%
Avg Score:62.7%
Providers:1