Model Comparison

Qwen3.5-397B-A17B vs Nemotron 3 Nano (30B A3B)

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 12.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Qwen3.5-397B-A17B outperforms in 7 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, Multi-Challenge, SWE-Bench Verified), while Nemotron 3 Nano (30B A3B) is better at 1 benchmark (WMT24++).

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 10.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 15.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Nemotron 3 Nano (30B A3B).*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

365.0B diff

Qwen3.5-397B-A17B has 365.0B more parameters than Nemotron 3 Nano (30B A3B), making it 1140.6% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
397.0B
Qwen3.5-397B-A17B
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .

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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

Qwen3.5-397B-A17B is 2 months newer than Nemotron 3 Nano (30B A3B).

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

2mo newer
Nemotron 3 Nano (30B A3B)

Dec 15, 2025

4 months ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while Qwen3.5-397B-A17B'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 Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

Qwen3.5-397B-A17B is available from Novita. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (88.4% vs 75.0%)
Higher Humanity's Last Exam score (28.7% vs 15.5%)
Higher LiveCodeBench v6 score (83.6% vs 68.3%)
Higher MMLU-Pro score (87.8% vs 78.3%)
Higher MMLU-ProX score (84.7% vs 59.5%)
Higher Multi-Challenge score (67.6% vs 38.5%)
Higher SWE-Bench Verified score (76.4% vs 38.8%)
NVIDIA
Less expensive input tokens
Less expensive output tokens
Higher WMT24++ score (86.2% vs 78.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about Qwen3.5-397B-A17B vs Nemotron 3 Nano (30B A3B)

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Nemotron 3 Nano (30B A3B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.
Nemotron 3 Nano (30B A3B) is 10.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.
Qwen3.5-397B-A17B supports 262K tokens and Nemotron 3 Nano (30B A3B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.60 vs $0.06/M), multimodal support (yes vs no), licensing (Apache 2.0 vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.