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Mistral Large 2 vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 7.1. Nemotron 3.5 Super VL (120B A12B) is 7.5x cheaper per token.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 7.1, 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 Mistral Large 2

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

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

At a glance

The differences that matter most.

Mistral Large 2
Mistral AI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
7.1
#312
35.0
#108
Reasoning
7.0
#305
36.2
#94
Coding
12.9
#158
21.0
#108
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
$0.20 / M
Output price
$6.00 / M
$1.00 / M
Context window
128,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 2
Nemotron 3.5 Super VL (120B A12B)
Math
11.3#255
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 2 · 19 for Nemotron 3.5 Super VL (120B A12B)

No common benchmarks found

Mistral Large 2 and Nemotron 3.5 Super VL (120B A12B)don'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, Mistral Large 2 ($2.00/1M tokens) is 10.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Mistral Large 2 ($6.00/1M tokens) is 6.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Mistral Large 2 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 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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

3.0B diff

Mistral Large 2 has 3.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 2.5% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
123.0B
Mistral Large 2
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Mistral Large 2's 128,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Mistral Large 2 is limited to 128,000 tokens.

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 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

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Mistral Large 2 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.

Mistral Large 2

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research 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 2

Mistral Research License

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 27 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

2.2 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

2.2yr 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 2 is available from Google, Mistral AI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

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 2 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Mistral Large 2
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Mistral Large 2 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Mistral Large 2 or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 7.1. Mistral Large 2 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 2 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. 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 2 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 10.0x cheaper for input tokens. Mistral Large 2 costs $2.00/M input and $6.00/M output via google. 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 2 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Large 2 supports 128K 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 2 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (7.1 vs 35.0), context window (128K vs 262K), input pricing ($2.00 vs $0.20/M), multimodal support (no vs yes), licensing (Mistral Research License vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 2 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Large 2 is developed by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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