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Model Comparison

Llama-3.3 Nemotron Super 49B v1 vs MiniMax M1 80KWhich is better in 2026?

MiniMax M1 80K significantly outperforms across most benchmarks.

Verdict: Llama-3.3 Nemotron Super 49B v1 vs MiniMax M1 80K — which is better?

Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) and MiniMax M1 80K (by MiniMax) 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.

Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while MiniMax M1 80K is better at 3 benchmarks (AIME 2025, GPQA, MATH-500). MiniMax M1 80K significantly outperforms across most benchmarks.

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you are already invested in the NVIDIA ecosystem

Choose MiniMax M1 80K if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while MiniMax M1 80K is better at 3 benchmarks (AIME 2025, GPQA, MATH-500).

MiniMax M1 80K significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

406.1B diff

MiniMax M1 80K has 406.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 813.8% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
456.0B
MiniMax M1 80K

Context Window

Maximum input and output token capacity

Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Fri Aug 07 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 MiniMax M1 80K uses MIT.

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

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while MiniMax M1 80K was released on 2025-06-16.

MiniMax M1 80K is 3 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.4 years ago

MiniMax M1 80K

Jun 16, 2025

1.1 years ago

3mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while MiniMax M1 80K'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 MiniMax M1 80K's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

MiniMax M1 80K

—

Outputs Comparison

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Key Takeaways

NVIDIA

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

MiniMax
Larger context window (1,000,000 tokens)
Higher AIME 2025 score (76.9% vs 58.4%)
Higher GPQA score (70.0% vs 66.7%)
Higher MATH-500 score (96.8% vs 96.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and MiniMax M1 80K side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
MiniMax M1 80K
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama-3.3 Nemotron Super 49B v1
MiniMax
MiniMax M1 80K

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs MiniMax M1 80K.

Which is better, Llama-3.3 Nemotron Super 49B v1 or MiniMax M1 80K?

MiniMax M1 80K significantly outperforms across most benchmarks. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and MiniMax M1 80K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama-3.3 Nemotron Super 49B v1 compare to MiniMax M1 80K 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%. MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and MiniMax M1 80K?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and MiniMax M1 80K 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-3.3 Nemotron Super 49B v1 and MiniMax M1 80K?

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

Who makes Llama-3.3 Nemotron Super 49B v1 and MiniMax M1 80K?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and MiniMax M1 80K is developed by MiniMax.

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