Model Comparison

Llama 3.1 Nemotron Nano 8B V1 vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?

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

Verdict: Llama 3.1 Nemotron Nano 8B V1 vs Qwen3-235B-A22B-Instruct-2507 — which is better?

Llama 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 3 benchmarks (AIME 2025, GPQA, IFEval). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Choose Llama 3.1 Nemotron Nano 8B 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 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.1 Nemotron Nano 8B V1 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 3 benchmarks (AIME 2025, GPQA, IFEval).

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

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

227.0B diff

Qwen3-235B-A22B-Instruct-2507 has 227.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 2837.5% larger.

NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
8.0B
Llama 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Wed Jul 15 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 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 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1.

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.3 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1

Dec 2023

Qwen3-235B-A22B-Instruct-2507

—

Outputs Comparison

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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 47.1%)
Higher GPQA score (77.5% vs 54.1%)
Higher IFEval score (88.7% vs 79.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron Nano 8B V1 and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron Nano 8B V1
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Llama 3.1 Nemotron Nano 8B V1 vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Llama 3.1 Nemotron Nano 8B V1 or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Llama 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1 compare to Qwen3-235B-A22B-Instruct-2507 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%. 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 3.1 Nemotron Nano 8B V1 and Qwen3-235B-A22B-Instruct-2507?

Llama 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1 and Qwen3-235B-A22B-Instruct-2507?

Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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