Model Comparison
Llama 3.1 Nemotron Nano 8B V1 vs Qwen3-Coder
Comparing Llama 3.1 Nemotron Nano 8B V1 and Qwen3-Coder across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.1 Nemotron Nano 8B V1 and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3-Coder has 472.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 5900.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).
License
Usage and distribution terms
Llama 3.1 Nemotron Nano 8B V1 is licensed under Llama 3.1 Community License, while Qwen3-Coder uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18, while Qwen3-Coder was released on 2025-01-01.
Llama 3.1 Nemotron Nano 8B V1 is 3 months newer than Qwen3-Coder.
Mar 18, 2025
1.1 years ago
2mo newerJan 1, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while Qwen3-Coder's cutoff date is not specified.
We can confirm Llama 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3-Coder's cutoff date.
Dec 2023
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Outputs Comparison
Key Takeaways
Qwen3-Coder
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 3.1 Nemotron Nano 8B V1 vs Qwen3-Coder