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Nemotron 3.5 Super VL (120B A12B) vs Qwen3.6-27B

Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B are closely matched at 35.0 and 35.3 on the LLM Stats Score. Nemotron 3.5 Super VL (120B A12B) is 2.6x cheaper per token.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B are closely matched on the overall LLM Stats Score at 35.0 and 35.3.

In the 7 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 2.6x 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)

  • you value its reported benchmark strengths — it wins 4 of 7 exact shared results
  • cost matters — it's about 2.6x cheaper per token
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.6-27B

  • you want predictable pricing at $0.32/M input and $3.20/M output

At a glance

The differences that matter most.

Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Qwen3.6-27B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
35.0
#108
35.3
#104
Reasoning
36.2
#94
36.1
#95
Coding
21.0
#108
25.5
#84
Agents
16.5
#99
16.1
#100
Cost, coverage & limits
Benchmark wins
4 of 7
3 of 7
Input price
$0.20 / M
$0.32 / M
Output price
$1.00 / M
$3.20 / M
Context window
262,144
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Nemotron 3.5 Super VL (120B A12B)
Qwen3.6-27B
Math
28.1#101
34.2#51
Vision
20.3#86
24.6#64
Multimodal
22.0#76
27.4#48
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Nemotron 3.5 Super VL (120B A12B) · 44 for Qwen3.6-27B

7 shared

Nemotron 3.5 Super VL (120B A12B) outperforms in 4 benchmarks (CharXiv-R, GPQA, Humanity's Last Exam, LiveCodeBench v6), while Qwen3.6-27B is better at 3 benchmarks (SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified).

Nemotron 3.5 Super VL (120B A12B) has a slight edge in benchmark performance.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens) is 1.6x cheaper than Qwen3.6-27B ($0.32/1M tokens).

For output processing, Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens) is 3.2x cheaper than Qwen3.6-27B ($3.20/1M tokens).

In conclusion, Qwen3.6-27B is more expensive than Nemotron 3.5 Super VL (120B A12B).*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.6-27B
Input tokens$0.32
Output tokens$3.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

92.2B diff

Nemotron 3.5 Super VL (120B A12B) has 92.2B more parameters than Qwen3.6-27B, making it 331.9% larger.

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.6-27B
27.8Bparameters
120.0B
Nemotron 3.5 Super VL (120B A12B)
27.8B
Qwen3.6-27B

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.

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.6-27B
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

Qwen3.6-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3.5 Super VL (120B A12B) is licensed under OpenMDW License v1.1, while Qwen3.6-27B uses Apache 2.0.

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

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Qwen3.6-27B

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 Qwen3.6-27B was released on 2026-04-21.

Nemotron 3.5 Super VL (120B A12B) is 6 months newer than Qwen3.6-27B.

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

5mo newer
Qwen3.6-27B

Apr 21, 2026

6 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra. Qwen3.6-27B is available from DeepInfra, Novita.

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M

Qwen3.6-27B

deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $3.20/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B side-by-side, then vote on the output you prefer.

Nemotron 3.5 Super VL (120B A12B)
✓ Preferred
Qwen3.6-27B
Open in Playground

FAQ

Common questions about Nemotron 3.5 Super VL (120B A12B) vs Qwen3.6-27B.

Which is better, Nemotron 3.5 Super VL (120B A12B) or Qwen3.6-27B?

Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B are closely matched on the LLM Stats Score at 35.0 and 35.3. Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA and Qwen3.6-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Nemotron 3.5 Super VL (120B A12B) compare to Qwen3.6-27B in benchmarks?

Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%. Qwen3.6-27B scores CountBench: 97.8%, VLMsAreBlind: 97.0%, V*: 94.7%, AIME 2026: 94.1%, HMMT 2025: 93.8%.

Is Nemotron 3.5 Super VL (120B A12B) cheaper than Qwen3.6-27B?

Nemotron 3.5 Super VL (120B A12B) is 1.6x cheaper for input tokens. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra. Qwen3.6-27B costs $0.32/M input and $3.20/M output via deepinfra.

What are the context window sizes for Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B?

Nemotron 3.5 Super VL (120B A12B) supports 262K tokens and Qwen3.6-27B 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 Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B?

Key differences include LLM Stats Score (35.0 vs 35.3), input pricing ($0.20 vs $0.32/M), licensing (OpenMDW License v1.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3.5 Super VL (120B A12B) and Qwen3.6-27B?

Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA and Qwen3.6-27B is developed by Alibaba Cloud / Qwen Team.

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