Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 32.5% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Context window and performance specifications
Average performance across 30 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
QwQ-32B-Preview
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
QwQ-32B-Preview
DeepInfra
Gemma 3n E2B Instructed LiteRT (Preview)
QwQ-32B-Preview
Gemma 3n E2B Instructed LiteRT (Preview)
QwQ-32B-Preview
Fireworks
Hyperbolic
Together