Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 32.7% higher average benchmark score. Gemma 3 4B offers 126.1K more tokens in context window than Grok-3. Gemma 3 4B is $17.94 cheaper per million tokens. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K 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. 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 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Grok-3
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 4B
Grok-3
Gemma 3 4B
2024-08-01
Grok-3
2024-11-17
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Grok-3
Gemma 3 4B
Grok-3
Gemma 3 4B
Grok-3
xAI