Model Comparison

Nemotron 3 Nano (30B A3B) vs Qwen3 235B A22B

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Qwen3 235B A22B is 1.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Nemotron 3 Nano (30B A3B) outperforms in 3 benchmarks (AIME 2025, GPQA, MMLU-Pro), while Qwen3 235B A22B is better at 0 benchmarks.

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

Fri May 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, Nemotron 3 Nano (30B A3B) ($0.06/1M tokens) is 1.7x cheaper than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, Nemotron 3 Nano (30B A3B) ($0.24/1M tokens) is 2.4x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, Nemotron 3 Nano (30B A3B) is more expensive than Qwen3 235B A22B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 29 2026 • llm-stats.com
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

203.0B diff

Qwen3 235B A22B has 203.0B more parameters than Nemotron 3 Nano (30B A3B), making it 634.4% larger.

NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
32.0B
Nemotron 3 Nano (30B A3B)
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.

NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Fri May 29 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while Qwen3 235B A22B uses Apache 2.0.

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

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while Qwen3 235B A22B was released on 2025-04-29.

Nemotron 3 Nano (30B A3B) is 8 months newer than Qwen3 235B A22B.

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

5 months ago

7mo newer
Qwen3 235B A22B

Apr 29, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while Qwen3 235B A22B's cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without Qwen3 235B A22B's cutoff date.

Nemotron 3 Nano (30B A3B)

Nov 2025

Qwen3 235B A22B

Provider Availability

Nemotron 3 Nano (30B A3B) is available from DeepInfra. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M

Qwen3 235B A22B

fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,144 tokens)
Less expensive input tokens
Higher AIME 2025 score (99.2% vs 81.5%)
Higher GPQA score (75.0% vs 47.5%)
Higher MMLU-Pro score (78.3% vs 68.2%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Nemotron 3 Nano (30B A3B)
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about Nemotron 3 Nano (30B A3B) vs Qwen3 235B A22B.

Which is better, Nemotron 3 Nano (30B A3B) or Qwen3 235B A22B?

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is made by NVIDIA and Qwen3 235B A22B 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 Nemotron 3 Nano (30B A3B) compare to Qwen3 235B A22B in benchmarks?

Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

Is Nemotron 3 Nano (30B A3B) cheaper than Qwen3 235B A22B?

Nemotron 3 Nano (30B A3B) is 1.7x cheaper for input tokens. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.

What are the context window sizes for Nemotron 3 Nano (30B A3B) and Qwen3 235B A22B?

Nemotron 3 Nano (30B A3B) supports 262K tokens and Qwen3 235B A22B 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 Nemotron 3 Nano (30B A3B) and Qwen3 235B A22B?

Key differences include context window (262K vs 128K), input pricing ($0.06 vs $0.10/M), licensing (NVIDIA Open Model License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3 Nano (30B A3B) and Qwen3 235B A22B?

Nemotron 3 Nano (30B A3B) is developed by NVIDIA and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.