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Nemotron 3.5 Super VL (120B A12B) vs Qwen2.5-Coder 7B Instruct

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -3.5.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to -3.5, ranking #108 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Nemotron 3.5 Super VL (120B A12B)

  • overall performance matters — it scores 35.0 and ranks #108 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5-Coder 7B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
35.0
#108
-3.5
#367
Reasoning
36.2
#94
-3.5
#359
Coding
21.0
#108
6.4
#210
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.20 / M
— / M
Output price
$1.00 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Nemotron 3.5 Super VL (120B A12B)
Qwen2.5-Coder 7B Instruct
Math
28.1#101
-2.4#322
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Nemotron 3.5 Super VL (120B A12B) · 19 for Qwen2.5-Coder 7B Instruct

No common benchmarks found

Nemotron 3.5 Super VL (120B A12B) and Qwen2.5-Coder 7B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

113.0B diff

Nemotron 3.5 Super VL (120B A12B) has 113.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 1614.3% larger.

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
120.0B
Nemotron 3.5 Super VL (120B A12B)
7.0B
Qwen2.5-Coder 7B Instruct

Context Window

Maximum input and output token capacity

Only Nemotron 3.5 Super VL (120B A12B) specifies input context (262,144 tokens). Only Nemotron 3.5 Super VL (120B A12B) specifies output context (262,144 tokens).

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

Nemotron 3.5 Super VL (120B A12B) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3.5 Super VL (120B A12B) is licensed under OpenMDW License v1.1, while Qwen2.5-Coder 7B Instruct 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

Qwen2.5-Coder 7B Instruct

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 Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Nemotron 3.5 Super VL (120B A12B) is 25 months newer than Qwen2.5-Coder 7B Instruct.

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

2.1yr newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

2.1 years 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Nemotron 3.5 Super VL (120B A12B) and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

Nemotron 3.5 Super VL (120B A12B)
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground

FAQ

Common questions about Nemotron 3.5 Super VL (120B A12B) vs Qwen2.5-Coder 7B Instruct.

Which is better, Nemotron 3.5 Super VL (120B A12B) or Qwen2.5-Coder 7B Instruct?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -3.5. Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA and Qwen2.5-Coder 7B Instruct 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 Qwen2.5-Coder 7B Instruct 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%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for Nemotron 3.5 Super VL (120B A12B) and Qwen2.5-Coder 7B Instruct?

Nemotron 3.5 Super VL (120B A12B) supports 262K tokens and Qwen2.5-Coder 7B Instruct supports an unknown number of 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 Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (35.0 vs -3.5), multimodal support (yes vs no), 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 Qwen2.5-Coder 7B Instruct?

Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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