Qwen3.5-397B-A17B vs Nemotron 3 Super (120B A12B) Comparison

Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

Qwen3.5-397B-A17B outperforms in 11 benchmarks (AA-LCR, BrowseComp, GPQA, HMMT 2025, Humanity's Last Exam, IFBench, MMLU-Pro, MMLU-ProX, SWE-bench Multilingual, SWE-Bench Verified, Terminal-Bench 2.0), while Nemotron 3 Super (120B A12B) is better at 1 benchmark (WMT24++).

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

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Super (120B A12B) costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 6.0x more expensive than Nemotron 3 Super (120B A12B) ($0.10/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 7.2x more expensive than Nemotron 3 Super (120B A12B) ($0.50/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Nemotron 3 Super (120B A12B).*

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

Lowest available price from all providers
Tue Mar 17 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 Super (120B A12B)
Input tokens$0.10
Output tokens$0.50
Best providerDeepinfra
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Model Size

Parameter count comparison

277.0B diff

Qwen3.5-397B-A17B has 277.0B more parameters than Nemotron 3 Super (120B A12B), making it 230.8% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
NVIDIA
Nemotron 3 Super (120B A12B)
120.0Bparameters
397.0B
Qwen3.5-397B-A17B
120.0B
Nemotron 3 Super (120B A12B)

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Nemotron 3 Super (120B A12B) 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 Super (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas Nemotron 3 Super (120B A12B) 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 Super (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while Nemotron 3 Super (120B A12B) 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 Super (120B A12B)

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 Super (120B A12B) was released on 2026-03-11.

Nemotron 3 Super (120B A12B) is 1 month newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

4 weeks ago

Nemotron 3 Super (120B A12B)

Mar 11, 2026

6 days ago

3w newer

Knowledge Cutoff

When training data ends

Nemotron 3 Super (120B A12B) has a documented knowledge cutoff of 2025-06-01, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm Nemotron 3 Super (120B A12B)'s training data extends to 2025-06-01, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

Nemotron 3 Super (120B A12B)

Jun 2025

Provider Availability

Qwen3.5-397B-A17B is available from Novita. Nemotron 3 Super (120B A12B) is available from DeepInfra. The availability of providers can affect quality of the model and reliability.

Qwen3.5-397B-A17B

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

Nemotron 3 Super (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher AA-LCR score (68.7% vs 58.3%)
Higher BrowseComp score (69.0% vs 31.3%)
Higher GPQA score (88.4% vs 82.7%)
Higher HMMT 2025 score (94.8% vs 94.7%)
Higher Humanity's Last Exam score (28.7% vs 22.8%)
Higher IFBench score (76.5% vs 72.6%)
Higher MMLU-Pro score (87.8% vs 83.7%)
Higher MMLU-ProX score (84.7% vs 79.4%)
Higher SWE-bench Multilingual score (69.3% vs 45.8%)
Higher SWE-Bench Verified score (76.4% vs 53.7%)
Higher Terminal-Bench 2.0 score (52.5% vs 31.0%)
Less expensive input tokens
Less expensive output tokens
Higher WMT24++ score (86.7% vs 78.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
NVIDIA
Nemotron 3 Super (120B A12B)