Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

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.

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

7 months newer

Average performance across 3 common benchmarks

Google

Gemini 2.0 Flash Thinking

+74.3%
Average Score:74.3%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

Average Score:0.0%
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

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 Thinking

0 providers
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

0 providers
Google

Gemini 2.0 Flash Thinking

+74.3%
Avg Score:74.3%
Providers:0
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%
Providers:0