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Llama-3.3 Nemotron Super 49B v1 vs Qwen3 14B

Llama-3.3 Nemotron Super 49B v1 and Qwen3 14B are closely matched at 13.1 and 18.1 on the LLM Stats Score.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama-3.3 Nemotron Super 49B v1 and Qwen3 14B are closely matched on the overall LLM Stats Score at 13.1 and 18.1.

In the 3 individual benchmarks reported for both models, Qwen3 14B wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama-3.3 Nemotron Super 49B v1

  • you are already invested in the NVIDIA ecosystem

Choose Qwen3 14B

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
13.1
#254
18.1
#222
13.2
#247
19.5
#206
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$0.12 / M
Output price
— / M
$0.24 / M
Context window
—
40,960

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama-3.3 Nemotron Super 49B v1
Qwen3 14B
11.7#239
21.3#148
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for Llama-3.3 Nemotron Super 49B v1 · 17 for Qwen3 14B

3 shared

Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while Qwen3 14B is better at 3 benchmarks (AIME 2025, Arena Hard, MATH-500).

Qwen3 14B significantly outperforms across most benchmarks.

Mon Oct 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

35.9B diff

Llama-3.3 Nemotron Super 49B v1 has 35.9B more parameters than Qwen3 14B, making it 256.4% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 14B
14.0Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
14.0B
Qwen3 14B

Context Window

Maximum input and output token capacity

Only Qwen3 14B specifies input context (40,960 tokens). Only Qwen3 14B specifies output context (40,960 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 14B
Input40,960 tokens
Output40,960 tokens
Mon Oct 05 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 Qwen3 14B 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

Qwen3 14B

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 Qwen3 14B was released on 2025-04-28.

Qwen3 14B is 1 month newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.5 years ago

Qwen3 14B

Apr 28, 2025

1.4 years ago

1mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Qwen3 14B'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 Qwen3 14B's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Qwen3 14B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and Qwen3 14B side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Qwen3 14B
Open in Playground

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Qwen3 14B.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Qwen3 14B?

Llama-3.3 Nemotron Super 49B v1 and Qwen3 14B are closely matched on the LLM Stats Score at 13.1 and 18.1. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and Qwen3 14B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama-3.3 Nemotron Super 49B v1 compare to Qwen3 14B 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%. Qwen3 14B scores MATH-500: 96.8%, Arena Hard: 91.7%, RULER: 90.1%, AutoLogi: 89.2%, MMLU-Redux: 88.6%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and Qwen3 14B?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and Qwen3 14B supports 41K 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 Qwen3 14B?

Key differences include LLM Stats Score (13.1 vs 18.1), 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 Qwen3 14B?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Qwen3 14B is developed by Alibaba Cloud / Qwen Team.