Model Comparison

Llama-3.3 Nemotron Super 49B v1 vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Verdict: Llama-3.3 Nemotron Super 49B v1 vs Qwen3-235B-A22B-Instruct-2507 — which is better?

Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) and Qwen3-235B-A22B-Instruct-2507 (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (AIME 2025, GPQA). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you are already invested in the NVIDIA ecosystem

Choose Qwen3-235B-A22B-Instruct-2507 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (AIME 2025, GPQA).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

185.1B diff

Qwen3-235B-A22B-Instruct-2507 has 185.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 370.9% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Sun Jul 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 Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

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 Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 4 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.4 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Qwen3-235B-A22B-Instruct-2507

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

NVIDIA

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher AIME 2025 score (70.3% vs 58.4%)
Higher GPQA score (77.5% vs 66.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 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%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and Qwen3-235B-A22B-Instruct-2507?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

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 Qwen3-235B-A22B-Instruct-2507?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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