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

Gemini 2.5 Flash-Lite
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.

Qwen3 30B A3B
Alibaba
Qwen3 30B A3B is a language model developed by Alibaba. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen3 30B A3B
Alibaba
2025-04-29

Gemini 2.5 Flash-Lite
2025-06-17
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash-Lite

Qwen3 30B A3B
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Qwen3 30B A3B
Average performance across 3 common benchmarks

Gemini 2.5 Flash-Lite

Qwen3 30B A3B
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Qwen3 30B A3B
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Qwen3 30B A3B
DeepInfra
Fireworks
Novita

Gemini 2.5 Flash-Lite

Qwen3 30B A3B