+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Grok Code Fast 1 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 61.3% higher average benchmark score. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
+
+
+
+
xAI
Grok Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 year newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Grok Code Fast 1
xAI
2025-08-28
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
+
+
+
+
Grok Code Fast 1
Average Score:2.2%
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:63.5%(+61.3%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Grok Code Fast 1
1 providers
xAI
Throughput: 76.41 tok/s
Latency: 1.38ms
+
+
+
+
Phi-3.5-MoE-instruct
+
+
+
+
Grok Code Fast 1
Avg Score:2.2%
Providers:1
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:63.5%(+61.3%)
Providers:0