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GLM-4.6 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 44.2% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Overall, GLM-4.6 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 was introduced as an enhanced iteration of the GLM-4 series, designed to provide improved capabilities in bilingual language understanding and generation. Built to incorporate refinements to the GLM architecture, it represents continued advancement in Zhipu AI's model development.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
1 year newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
GLM-4.6
Zhipu AI
2025-09-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:81.0%(+44.2%)
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Phi-3.5-MoE-instruct
Average Score:36.8%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Phi-3.5-MoE-instruct
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GLM-4.6
Avg Score:81.0%(+44.2%)
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0