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GLM-4.6 vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 19.4% 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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NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
1 month newer
Nemotron Nano 9B v2
NVIDIA
2025-08-18
GLM-4.6
Zhipu AI
2025-09-30
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.6
Average Score:87.5%(+19.4%)
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Nemotron Nano 9B v2
Average Score:68.0%
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Knowledge Cutoff
Training data recency comparison
Nemotron Nano 9B v2
2024-09
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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Nemotron Nano 9B v2
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GLM-4.6
Avg Score:87.5%(+19.4%)
Providers:2
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Nemotron Nano 9B v2
Avg Score:68.0%
Providers:0