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Llama 3.1 Nemotron Ultra 253B v1 vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 19.1.

NVIDIA · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 19.1, ranking #19 overall.

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

Choose Llama 3.1 Nemotron Ultra 253B v1

  • you are already invested in the NVIDIA ecosystem

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
19.1
#209
49.8
#19
18.8
#208
45.2
#30
12.4
#149
41.8
#9
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.43 / M
Output price
— / M
$0.87 / M
Context window
1,048,576

Individual benchmarks

6 reported for Llama 3.1 Nemotron Ultra 253B v1 · 18 for MiMo-V2.6-Pro

No common benchmarks found

Llama 3.1 Nemotron Ultra 253B v1 and MiMo-V2.6-Prodon'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

767.0B diff

MiMo-V2.6-Pro has 767.0B more parameters than Llama 3.1 Nemotron Ultra 253B v1, making it 303.2% larger.

NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
253.0B
Llama 3.1 Nemotron Ultra 253B v1
1020.0B
MiMo-V2.6-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 Nemotron Ultra 253B v1 is licensed under Llama 3.1 Community License, while MiMo-V2.6-Pro uses MIT.

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

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 18 months newer than Llama 3.1 Nemotron Ultra 253B v1.

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.5 years ago

MiMo-V2.6-Pro

Sep 22, 2026

-1 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while MiMo-V2.6-Pro's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without MiMo-V2.6-Pro's cutoff date.

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

MiMo-V2.6-Pro

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron Ultra 253B v1 and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron Ultra 253B v1
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about Llama 3.1 Nemotron Ultra 253B v1 vs MiMo-V2.6-Pro.

Which is better, Llama 3.1 Nemotron Ultra 253B v1 or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 19.1. Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA and MiMo-V2.6-Pro is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.1 Nemotron Ultra 253B v1 compare to MiMo-V2.6-Pro in benchmarks?

Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%. MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%.

What are the context window sizes for Llama 3.1 Nemotron Ultra 253B v1 and MiMo-V2.6-Pro?

Llama 3.1 Nemotron Ultra 253B v1 supports an unknown number of tokens and MiMo-V2.6-Pro 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 Ultra 253B v1 and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (19.1 vs 49.8), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 Nemotron Ultra 253B v1 and MiMo-V2.6-Pro?

Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA and MiMo-V2.6-Pro is developed by Xiaomi.