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Mistral Large 4 vs Nemotron Nano 9B v2

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.4.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 18.4, ranking #34 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 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 Nemotron Nano 9B v2

  • 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 Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
46.2
#34
18.4
#227
Reasoning
44.4
#38
17.2
#226
Coding
35.4
#27
14.4
#147
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Individual benchmarks

18 reported for Mistral Large 4 · 6 for Nemotron Nano 9B v2

No common benchmarks found

Mistral Large 4 and Nemotron Nano 9B v2don'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

1041.1B diff

Mistral Large 4 has 1041.1B more parameters than Nemotron Nano 9B v2, making it 11697.8% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
1050.0B
Mistral Large 4
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

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

Mistral Large 4

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Nemotron Nano 9B v2 was released on 2025-08-18.

Mistral Large 4 is 14 months newer than Nemotron Nano 9B v2.

Mistral Large 4

Oct 6, 2026

5 days ago

1.1yr newer
Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Mistral Large 4

—

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Nemotron Nano 9B v2.

Which is better, Mistral Large 4 or Nemotron Nano 9B v2?

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.4. Mistral Large 4 is made by Mistral AI and Nemotron Nano 9B v2 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 Nano 9B v2 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 Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for Mistral Large 4 and Nemotron Nano 9B v2?

Mistral Large 4 supports 1.0M tokens and Nemotron Nano 9B v2 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 Mistral Large 4 and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (46.2 vs 18.4), multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Nemotron Nano 9B v2?

Mistral Large 4 is developed by Mistral AI and Nemotron Nano 9B v2 is developed by NVIDIA.

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