Comprehensive side-by-side LLM comparison
Phi 4 leads with 31.7% higher average benchmark score. Grok-3 Mini offers 104.0K more tokens in context window than Phi 4. Phi 4 is $0.59 cheaper per million tokens. Grok-3 Mini supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
2 months newer
Phi 4
Microsoft
2024-12-12
Grok-3 Mini
xAI
2025-02-17
Cost per million tokens (USD)
Grok-3 Mini
Phi 4
Context window and performance specifications
Average performance across 16 common benchmarks
Grok-3 Mini
Phi 4
Phi 4
2024-06-01
Grok-3 Mini
2024-11-17
Available providers and their performance metrics
Grok-3 Mini
xAI
Phi 4
Grok-3 Mini
Phi 4
Grok-3 Mini
Phi 4
DeepInfra