The AI arena is free today

Open Superagent

MiniMax M1 80K vs Nemotron Nano 9B v2

MiniMax M1 80K and Nemotron Nano 9B v2 are closely matched at 21.4 and 18.4 on the LLM Stats Score.

MiniMax · NVIDIA · Updated for 2026

Which is better?

MiniMax M1 80K and Nemotron Nano 9B v2 are closely matched on the overall LLM Stats Score at 21.4 and 18.4.

The models split the 4 individual benchmarks reported for both models evenly.

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

Choose MiniMax M1 80K

  • you want predictable pricing at $0.55/M input and $2.20/M output

Choose Nemotron Nano 9B v2

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

At a glance

The differences that matter most.

Core performance indexes
21.4
#188
18.4
#211
21.6
#177
17.2
#210
9.5
#171
14.4
#133
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.55 / M
— / M
Output price
$2.20 / M
— / M
Context window
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniMax M1 80K
Nemotron Nano 9B v2
19.6#165
16.4#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiniMax M1 80K · 6 for Nemotron Nano 9B v2

4 shared

MiniMax M1 80K outperforms in 2 benchmarks (AIME 2025, GPQA), while Nemotron Nano 9B v2 is better at 2 benchmarks (LiveCodeBench, MATH-500).

Both models are evenly matched across the benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

447.1B diff

MiniMax M1 80K has 447.1B more parameters than Nemotron Nano 9B v2, making it 5023.6% larger.

MiniMax
MiniMax M1 80K
456.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
456.0B
MiniMax M1 80K
8.9B
Nemotron Nano 9B v2

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).

MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M1 80K is licensed under MIT, 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.

MiniMax M1 80K

MIT

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

MiniMax M1 80K was released on 2025-06-16, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 2 months newer than MiniMax M1 80K.

MiniMax M1 80K

Jun 16, 2025

1.3 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

2mo newer

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while MiniMax M1 80K'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 MiniMax M1 80K's cutoff date.

MiniMax M1 80K

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against MiniMax M1 80K and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

MiniMax M1 80K
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about MiniMax M1 80K vs Nemotron Nano 9B v2.

Which is better, MiniMax M1 80K or Nemotron Nano 9B v2?

MiniMax M1 80K and Nemotron Nano 9B v2 are closely matched on the LLM Stats Score at 21.4 and 18.4. MiniMax M1 80K is made by MiniMax 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 MiniMax M1 80K compare to Nemotron Nano 9B v2 in benchmarks?

MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%. 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 MiniMax M1 80K and Nemotron Nano 9B v2?

MiniMax M1 80K 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 MiniMax M1 80K and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (21.4 vs 18.4), licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 80K and Nemotron Nano 9B v2?

MiniMax M1 80K is developed by MiniMax and Nemotron Nano 9B v2 is developed by NVIDIA.