Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 24.2% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Kimi K2 0905 is available on 2 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.
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
3 months newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Kimi K2 0905
Moonshot AI
2025-09-05
Context window and performance specifications
Average performance across 30 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Kimi K2 0905
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Kimi K2 0905
Novita
Gemma 3n E2B Instructed LiteRT (Preview)
Kimi K2 0905
Gemma 3n E2B Instructed LiteRT (Preview)
Kimi K2 0905
ZeroEval