Model Comparison

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

Google

Gemini 1.5 Flash

Google

Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, 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 1.5 Flash

Google

2024-05-01

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Flash

Input:$0.15
Output:$0.60
Google

Gemini 2.5 Flash-Lite

$0.25 cheaper
Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash

Max Context:1.1M
Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M

Average performance across 3 common benchmarks

Google

Gemini 1.5 Flash

Average Score:54.1%
Google

Gemini 2.5 Flash-Lite

+8.9%
Average Score:62.9%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash

reasoning
+84.0%
86.5%
vision
69.2%
code
+25.2%
67.7%
general
+27.0%
62.7%
Google

Gemini 2.5 Flash-Lite

reasoning
2.5%
vision
+3.7%
72.9%
code
42.5%
general
35.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Flash

2023-11-01

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 1.5 Flash

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
Google

Gemini 2.5 Flash-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
Google

Gemini 1.5 Flash

Avg Score:54.1%
Providers:1
Google

Gemini 2.5 Flash-Lite

+8.9%
Avg Score:62.9%
Providers:1