+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
9 months newer
Phi 4
Microsoft
2024-12-12
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Phi 4
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
+
+
+
+
Qwen3-Next-80B-A3B-Base
+
+
+
+
Phi 4
Avg Score:0.0%
Providers:1
+
+
+
+
Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0