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Nemotron 3.5 Super VL (120B A12B) vs North Micro Vision Instruct

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -5.4.

NVIDIA · Cohere · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to -5.4, ranking #108 overall.

In the 1 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 1; this is a narrower head-to-head signal than the composite indexes.

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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose North Micro Vision Instruct

  • you are already invested in the Cohere ecosystem

At a glance

The differences that matter most.

Nemotron 3.5 Super VL (120B A12B)
NVIDIA
North Micro Vision Instruct
Cohere
Core performance indexes
LLM Stats Score
35.0
#108
-5.4
#379
Reasoning
36.2
#94
-8.0
#379
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

3 shared
Index
Nemotron 3.5 Super VL (120B A12B)
North Micro Vision Instruct
Math
28.1#101
-12.7#338
Vision
20.3#86
-5.0#220
Multimodal
22.0#76
-3.3#182
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Nemotron 3.5 Super VL (120B A12B) · 19 for North Micro Vision Instruct

1 shared

Nemotron 3.5 Super VL (120B A12B) outperforms in 1 benchmarks (OCRBench-V2 (en)), while North Micro Vision Instruct is better at 0 benchmarks.

Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

117.6B diff

Nemotron 3.5 Super VL (120B A12B) has 117.6B more parameters than North Micro Vision Instruct, making it 4900.0% larger.

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
Cohere
North Micro Vision Instruct
2.4Bparameters
120.0B
Nemotron 3.5 Super VL (120B A12B)
2.4B
North Micro Vision 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
Cohere
North Micro Vision Instruct
Input- tokens
Output- 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 North Micro Vision Instruct 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

North Micro Vision 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 North Micro Vision 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

North Micro Vision 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 North Micro Vision Instruct was released on 2026-08-12.

Nemotron 3.5 Super VL (120B A12B) is 2 months newer than North Micro Vision Instruct.

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

2mo newer
North Micro Vision Instruct

Aug 12, 2026

2 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Nemotron 3.5 Super VL (120B A12B)
✓ Preferred
North Micro Vision Instruct
Open in Playground

FAQ

Common questions about Nemotron 3.5 Super VL (120B A12B) vs North Micro Vision Instruct.

Which is better, Nemotron 3.5 Super VL (120B A12B) or North Micro Vision Instruct?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -5.4. Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA and North Micro Vision Instruct is made by Cohere. 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 North Micro Vision 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%. North Micro Vision Instruct scores DocVQA: 92.1%, ChartQA: 80.8%, OCRBench: 79.2%, AI2D: 77.5%, IFEval: 74.9%.

What are the context window sizes for Nemotron 3.5 Super VL (120B A12B) and North Micro Vision Instruct?

Nemotron 3.5 Super VL (120B A12B) supports 262K tokens and North Micro Vision 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 North Micro Vision Instruct?

Key differences include LLM Stats Score (35.0 vs -5.4), 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 North Micro Vision Instruct?

Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA and North Micro Vision Instruct is developed by Cohere.

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