Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 43.9% higher average benchmark score. Gemma 3 27B offers 126.1K more tokens in context window than Grok-3. Gemma 3 27B is $17.70 cheaper per million tokens. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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.
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K token context window for handling large documents. 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 xAI's latest advancement in AI technology.
23 days newer
Grok-3
xAI
2025-02-17
Gemma 3 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
Grok-3
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 27B
Grok-3
Grok-3
2024-11-17
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Grok-3
Gemma 3 27B
Grok-3
Grok-3
xAI