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Llama 3.1 Nemotron 70B Instruct vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 0.4.

NVIDIA · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 0.4, ranking #34 overall.

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

Choose Llama 3.1 Nemotron 70B Instruct

  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
0.4
#340
46.2
#34
Reasoning
0.1
#333
44.0
#43
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

11 reported for Llama 3.1 Nemotron 70B Instruct · 18 for Mistral Large 4

No common benchmarks found

Llama 3.1 Nemotron 70B Instruct and Mistral Large 4don'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

980.0B diff

Mistral Large 4 has 980.0B more parameters than Llama 3.1 Nemotron 70B Instruct, making it 1400.0% larger.

NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
70.0B
Llama 3.1 Nemotron 70B Instruct
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

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

NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

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

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 Nemotron 70B Instruct is licensed under Llama 3.1 Community License, while Mistral Large 4 uses a proprietary license.

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

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 25 months newer than Llama 3.1 Nemotron 70B Instruct.

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

2.0 years ago

Mistral Large 4

Oct 6, 2026

2 days ago

2.0yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Mistral Large 4

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron 70B Instruct and Mistral Large 4 side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron 70B Instruct
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Llama 3.1 Nemotron 70B Instruct vs Mistral Large 4.

Which is better, Llama 3.1 Nemotron 70B Instruct or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 0.4. Llama 3.1 Nemotron 70B Instruct is made by NVIDIA and Mistral Large 4 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 Llama 3.1 Nemotron 70B Instruct compare to Mistral Large 4 in benchmarks?

Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for Llama 3.1 Nemotron 70B Instruct and Mistral Large 4?

Llama 3.1 Nemotron 70B Instruct supports an unknown number of tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 Nemotron 70B Instruct and Mistral Large 4?

Key differences include LLM Stats Score (0.4 vs 46.2), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 Nemotron 70B Instruct and Mistral Large 4?

Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA and Mistral Large 4 is developed by Mistral AI.

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