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Llama-3.3 Nemotron Super 49B v1 vs Qwen2.5-Coder 32B Instruct

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama-3.3 Nemotron Super 49B v1 outperforms in 1 benchmarks (MBPP), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks. Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

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

Choose Llama-3.3 Nemotron Super 49B v1

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Choose Qwen2.5-Coder 32B Instruct

  • you want predictable pricing at $0.09/M input and $0.09/M output

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 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-3.3 Nemotron Super 49B v1 outperforms in 1 benchmarks (MBPP), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

Llama-3.3 Nemotron Super 49B v1 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

17.9B diff

Llama-3.3 Nemotron Super 49B v1 has 17.9B more parameters than Qwen2.5-Coder 32B Instruct, making it 55.9% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
49.9B
Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Llama-3.3 Nemotron Super 49B v1 is 6 months newer than Qwen2.5-Coder 32B Instruct.

Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Qwen2.5-Coder 32B Instruct
Open in Playground

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Qwen2.5-Coder 32B Instruct.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Qwen2.5-Coder 32B Instruct?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%. 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-3.3 Nemotron Super 49B v1 and Qwen2.5-Coder 32B Instruct?

Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 and Qwen2.5-Coder 32B Instruct?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.