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Nemotron 3.5 Super VL (120B A12B) vs Pixtral Large

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 11.5. Nemotron 3.5 Super VL (120B A12B) is 7.5x cheaper per token.

NVIDIA · Mistral AI · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 11.5, ranking #108 overall.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

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
  • cost matters — it's about 7.5x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Pixtral Large

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

Core performance indexes
35.0
#108
11.5
#280
36.2
#94
12.8
#264
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.20 / M
$2.00 / M
Output price
$1.00 / M
$6.00 / M
Context window
262,144
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Nemotron 3.5 Super VL (120B A12B)
Pixtral Large
20.3#86
10.8#132
22.0#76
13.2#118
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Nemotron 3.5 Super VL (120B A12B) · 7 for Pixtral Large

No common benchmarks found

Nemotron 3.5 Super VL (120B A12B) and Pixtral Largedon'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

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 10.0x cheaper than Pixtral Large ($2.00/1M tokens).

For output processing, Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens) is 6.0x cheaper than Pixtral Large ($6.00/1M tokens).

In conclusion, Pixtral Large 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
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

4.0B diff

Pixtral Large has 4.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 3.3% larger.

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
120.0B
Nemotron 3.5 Super VL (120B A12B)
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Pixtral Large's 128,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Pixtral Large is limited to 128,000 tokens.

NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 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 Pixtral Large 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

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3.5 Super VL (120B A12B) is licensed under OpenMDW License v1.1, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15, while Pixtral Large was released on 2024-11-18.

Nemotron 3.5 Super VL (120B A12B) is 23 months newer than Pixtral Large.

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

1.9yr newer
Pixtral Large

Nov 18, 2024

1.9 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

Provider Availability

Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra. Pixtral Large is available from Mistral AI.

Nemotron 3.5 Super VL (120B A12B)

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

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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 Pixtral Large side-by-side, then vote on the output you prefer.

Nemotron 3.5 Super VL (120B A12B)
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Nemotron 3.5 Super VL (120B A12B) vs Pixtral Large.

Which is better, Nemotron 3.5 Super VL (120B A12B) or Pixtral Large?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 11.5. Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA and Pixtral Large is made by Mistral AI. 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 Pixtral Large 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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is Nemotron 3.5 Super VL (120B A12B) cheaper than Pixtral Large?

Nemotron 3.5 Super VL (120B A12B) is 10.0x cheaper for input tokens. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.

What are the context window sizes for Nemotron 3.5 Super VL (120B A12B) and Pixtral Large?

Nemotron 3.5 Super VL (120B A12B) supports 262K tokens and Pixtral Large supports 128K 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 Pixtral Large?

Key differences include LLM Stats Score (35.0 vs 11.5), context window (262K vs 128K), input pricing ($0.20 vs $2.00/M), licensing (OpenMDW License v1.1 vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3.5 Super VL (120B A12B) and Pixtral Large?

Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA and Pixtral Large is developed by Mistral AI.