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Mistral Large 4 vs Nemotron 3.5 Super VL (120B A12B)

Mistral Large 4 leads the LLM Stats Score 45.6 to 35.0. Nemotron 3.5 Super VL (120B A12B) is 2.6x cheaper per token.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.6 to 35.0, ranking #40 overall.

In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; 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.

Mistral Large 4 also accepts a larger context window (1,000,000 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 Mistral Large 4

  • overall performance matters — it scores 45.6 and ranks #40 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window

Choose Nemotron 3.5 Super VL (120B A12B)

  • cost matters — it's about 2.6x cheaper per token
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
45.6
#40
35.0
#108
Reasoning
43.8
#47
36.2
#94
Coding
34.6
#33
21.0
#108
Agents
33.6
#34
16.5
#99
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.68 / M
$0.20 / M
Output price
$2.09 / M
$1.00 / M
Context window
1,000,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Mistral Large 4
Nemotron 3.5 Super VL (120B A12B)
Vision
1.4#193
20.3#86
Tool use
27.5#24
11.0#133
Multimodal
2.0#168
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 19 for Nemotron 3.5 Super VL (120B A12B)

1 shared

Mistral Large 4 outperforms in 1 benchmarks (SciCode), while Nemotron 3.5 Super VL (120B A12B) is better at 0 benchmarks.

Mistral Large 4 significantly outperforms across most benchmarks.

Mon Oct 19 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, Mistral Large 4 ($0.68/1M tokens) is 3.4x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 2.1x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Mistral Large 4 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
Mon Oct 19 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

930.0B diff

Mistral Large 4 has 930.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 775.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
1050.0B
Mistral Large 4
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Nemotron 3.5 Super VL (120B A12B)'s 262,144 tokens. Only Nemotron 3.5 Super VL (120B A12B) specifies output context (262,144 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.

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

Mistral Large 4

Proprietary

Closed source

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 0 month newer than Mistral Large 4.

Mistral Large 4

Oct 6, 2026

1 weeks ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

1w newer

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

Mistral Large 4 is available from Mistral AI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Mistral Large 4 or Nemotron 3.5 Super VL (120B A12B)?

Mistral Large 4 leads the LLM Stats Score 45.6 to 35.0. Mistral Large 4 is made by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 4 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. 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%.

Is Mistral Large 4 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 3.4x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for Mistral Large 4 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Large 4 supports 1.0M tokens and Nemotron 3.5 Super VL (120B A12B) 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 Mistral Large 4 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (45.6 vs 35.0), context window (1.0M vs 262K), input pricing ($0.68 vs $0.20/M), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Large 4 is developed by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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