Model Comparison

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

Google

Gemini 1.5 Flash 8B

Google

Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 2.0 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 1.5 Flash 8B

Google

2024-03-15

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Flash 8B

Input:$0.07
Output:$0.30
Google

Gemini 2.0 Flash-Lite

Input:$0.07
Output:$0.30

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash 8B

Max Context:1.1M
Parameters:8.0B
Google

Gemini 2.0 Flash-Lite

Max Context:1.1M

Average performance across 5 common benchmarks

Google

Gemini 1.5 Flash 8B

Average Score:48.5%
Google

Gemini 2.0 Flash-Lite

+18.2%
Average Score:66.6%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash 8B

math
48.7%
vision
60.0%
general
+11.7%
67.2%
code
+29.3%
58.2%
Google

Gemini 2.0 Flash-Lite

math
+22.3%
71.0%
vision
+8.0%
68.0%
general
55.5%
code
28.9%
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 1.5 Flash 8B

2024-10-01

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 8B

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
Google

Gemini 2.0 Flash-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemini 1.5 Flash 8B

Avg Score:48.5%
Providers:1
Google

Gemini 2.0 Flash-Lite

+18.2%
Avg Score:66.6%
Providers:1