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Llama 3.1 Nemotron Nano 8B V1 vs Qwen2.5-Coder 32B Instruct

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.1 Nemotron Nano 8B V1 outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (MBPP). Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Llama 3.1 Nemotron Nano 8B V1

  • you want the most recent training data — it shipped Mar 2025

Choose Qwen2.5-Coder 32B Instruct

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.09 / M
Output price
— / M
$0.09 / M
Context window
128,000
Released
Mar 2025
Sep 2024
License
Llama 3.1 Community License
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 3.1 Nemotron Nano 8B V1 outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (MBPP).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

24.0B diff

Qwen2.5-Coder 32B Instruct has 24.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 300.0% larger.

NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
8.0B
Llama 3.1 Nemotron Nano 8B V1
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Aug 26 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 Nemotron Nano 8B V1 is licensed under Llama 3.1 Community License, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Qwen2.5-Coder 32B Instruct

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 Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Llama 3.1 Nemotron Nano 8B V1 is 6 months newer than Qwen2.5-Coder 32B Instruct.

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.4 years ago

6mo newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.9 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 Qwen2.5-Coder 32B Instruct'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 Qwen2.5-Coder 32B Instruct's cutoff date.

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Qwen2.5-Coder 32B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron Nano 8B V1 and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron Nano 8B V1
✓ Preferred
Qwen2.5-Coder 32B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 Nemotron Nano 8B V1 vs Qwen2.5-Coder 32B Instruct.

Which is better, Llama 3.1 Nemotron Nano 8B V1 or Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.1 Nemotron Nano 8B V1 compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Llama 3.1 Nemotron Nano 8B V1 and Qwen2.5-Coder 32B Instruct?

Llama 3.1 Nemotron Nano 8B V1 supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 Nemotron Nano 8B V1 and Qwen2.5-Coder 32B Instruct?

Key differences include licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 Nemotron Nano 8B V1 and Qwen2.5-Coder 32B Instruct?

Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.