Model Comparison

Llama-3.3 Nemotron Super 49B v1 vs Mistral NeMo InstructWhich is better in 2026?

Comparing Llama-3.3 Nemotron Super 49B v1 and Mistral NeMo Instruct across benchmarks, pricing, and capabilities.

Verdict: Llama-3.3 Nemotron Super 49B v1 vs Mistral NeMo Instruct — which is better?

Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) and Mistral NeMo Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you want the most recent training data — it shipped Mar 2025

Choose Mistral NeMo Instruct if…

  • you want predictable pricing at $0.15/M input and $0.15/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama-3.3 Nemotron Super 49B v1 and Mistral NeMo Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

37.9B diff

Llama-3.3 Nemotron Super 49B v1 has 37.9B more parameters than Mistral NeMo Instruct, making it 315.8% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

Only Mistral NeMo Instruct specifies input context (128,000 tokens). Only Mistral NeMo Instruct specifies output context (128,000 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Sun Jul 26 2026 • llm-stats.com

License

Usage and distribution terms

Llama-3.3 Nemotron Super 49B v1 is licensed under Llama 3.1 Community License, while Mistral NeMo Instruct uses Apache 2.0.

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

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Mistral NeMo Instruct was released on 2024-07-18.

Llama-3.3 Nemotron Super 49B v1 is 8 months newer than Mistral NeMo Instruct.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.4 years ago

8mo newer
Mistral NeMo Instruct

Jul 18, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Mistral NeMo Instruct's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without Mistral NeMo Instruct's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Mistral NeMo Instruct

—

Outputs Comparison

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Key Takeaways

NVIDIA

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (128,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Mistral NeMo Instruct
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Mistral AI
Mistral NeMo Instruct

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Mistral NeMo Instruct.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Mistral NeMo Instruct?

Llama-3.3 Nemotron Super 49B v1 (NVIDIA) and Mistral NeMo Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama-3.3 Nemotron Super 49B v1 compare to Mistral NeMo Instruct in benchmarks?

Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and Mistral NeMo Instruct?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and Mistral NeMo Instruct 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 Llama-3.3 Nemotron Super 49B v1 and Mistral NeMo Instruct?

Key differences include licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama-3.3 Nemotron Super 49B v1 and Mistral NeMo Instruct?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Mistral NeMo Instruct is developed by Mistral AI.

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