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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.

Gemini 2.0 Flash Thinking
2025-01-21

Qwen3 30B A3B
Alibaba
2025-04-29
3 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

Qwen3 30B A3B
Average performance across 2 common benchmarks

Gemini 2.0 Flash Thinking

Qwen3 30B A3B
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Qwen3 30B A3B
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Qwen3 30B A3B
DeepInfra
Fireworks
Novita

Gemini 2.0 Flash Thinking

Qwen3 30B A3B