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GLM-4.7 vs Llama 3.1 Nemotron Nano 8B
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
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NVIDIA
Llama-3.1-Nemotron-Nano-8B-v1 is an 8-billion-parameter model from NVIDIA, developed as a fine-tuned variant of Meta's Llama 3.1 8B using NVIDIA's Nemotron post-training methodology, which applies reinforcement learning and process reward modeling to enhance instruction-following and reasoning capability over the base model. The Nano designation marks it as the entry-level member of the Nemotron family, optimized for efficient inference on a single GPU while delivering meaningfully improved performance on instruction alignment and agentic tasks compared to standard Llama 3.1. Released open-weight on HuggingFace, it is designed for deployment in NVIDIA-accelerated environments and supports NVIDIA NIM for enterprise inference.
11 months newer
Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06
GLM-4.7
Zhipu AI
2025-12-22
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.7
1 providers
Zhipu AI
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Llama 3.1 Nemotron Nano 8B
0 providers
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GLM-4.7
Avg Score:0.0%
Providers:1
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Llama 3.1 Nemotron Nano 8B
Avg Score:0.0%
Providers:0