Nemotron 3.5 Super VL (120B A12B) vs Qwen3.5-397B-A17B
Nemotron 3.5 Super VL (120B A12B) and Qwen3.5-397B-A17B are closely matched at 35.0 and 38.5 on the LLM Stats Score. Nemotron 3.5 Super VL (120B A12B) is 2.7x cheaper per token.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Nemotron 3.5 Super VL (120B A12B) and Qwen3.5-397B-A17B are closely matched on the overall LLM Stats Score at 35.0 and 38.5.
The models split the 8 individual benchmarks reported for both models evenly.
On price, Nemotron 3.5 Super VL (120B A12B) is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Nemotron 3.5 Super VL (120B A12B)
- cost matters — it's about 2.7x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3.5-397B-A17B
- you want predictable pricing at $0.45/M input and $3.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Nemotron 3.5 Super VL (120B A12B) · 38 for Qwen3.5-397B-A17B
Nemotron 3.5 Super VL (120B A12B) outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, LiveCodeBench v6), while Qwen3.5-397B-A17B is better at 4 benchmarks (AA-LCR, IFBench, SWE-bench Multilingual, SWE-Bench Verified).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens) is 2.3x cheaper than Qwen3.5-397B-A17B ($0.45/1M tokens).
For output processing, Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens) is 3.0x cheaper than Qwen3.5-397B-A17B ($3.00/1M tokens).
In conclusion, Qwen3.5-397B-A17B is more expensive than Nemotron 3.5 Super VL (120B A12B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.5-397B-A17B has 277.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 230.8% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 262,144 tokens. Both models can generate responses up to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Both Nemotron 3.5 Super VL (120B A12B) and Qwen3.5-397B-A17B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Nemotron 3.5 Super VL (120B A12B)
Qwen3.5-397B-A17B
License
Usage and distribution terms
Nemotron 3.5 Super VL (120B A12B) is licensed under OpenMDW License v1.1, while Qwen3.5-397B-A17B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
OpenMDW License v1.1
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15, while Qwen3.5-397B-A17B was released on 2026-02-16.
Nemotron 3.5 Super VL (120B A12B) is 8 months newer than Qwen3.5-397B-A17B.
Oct 15, 2026
4 days ago
8mo newerFeb 16, 2026
8 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra. Qwen3.5-397B-A17B is available from DeepInfra, Novita.
Nemotron 3.5 Super VL (120B A12B)
Qwen3.5-397B-A17B
Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron 3.5 Super VL (120B A12B) and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron 3.5 Super VL (120B A12B) vs Qwen3.5-397B-A17B.
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