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Llama-3.3 Nemotron Super 49B v1 vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads the LLM Stats Score 25.7 to 13.1.

NVIDIA · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.5-Pro leads the overall LLM Stats Score 25.7 to 13.1, ranking #161 overall.

In the 1 individual benchmarks reported for both models, MiMo-V2.5-Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Llama-3.3 Nemotron Super 49B v1

  • you are already invested in the NVIDIA ecosystem

Choose MiMo-V2.5-Pro

  • overall performance matters — it scores 25.7 and ranks #161 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Apr 2026

At a glance

The differences that matter most.

Llama-3.3 Nemotron Super 49B v1
NVIDIA
MiMo-V2.5-Pro
Xiaomi
Core performance indexes
LLM Stats Score
13.1
#254
25.7
#161
Reasoning
13.2
#247
24.1
#167
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.43 / M
Output price
— / M
$0.87 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama-3.3 Nemotron Super 49B v1
MiMo-V2.5-Pro
Math
11.7#239
25.4#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for Llama-3.3 Nemotron Super 49B v1 · 31 for MiMo-V2.5-Pro

1 shared

Llama-3.3 Nemotron Super 49B v1 outperforms in 0 benchmarks, while MiMo-V2.5-Pro is better at 1 benchmark (GPQA).

MiMo-V2.5-Pro significantly outperforms across most benchmarks.

Mon Oct 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

973.3B diff

MiMo-V2.5-Pro has 973.3B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 1950.6% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
1023.2B
MiMo-V2.5-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2.5-Pro specifies input context (1,048,576 tokens). Only MiMo-V2.5-Pro specifies output context (131,072 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Mon Oct 05 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 MiMo-V2.5-Pro 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

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while MiMo-V2.5-Pro was released on 2026-04-27.

MiMo-V2.5-Pro is 14 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.5 years ago

MiMo-V2.5-Pro

Apr 27, 2026

5 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while MiMo-V2.5-Pro'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 MiMo-V2.5-Pro's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

MiMo-V2.5-Pro

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
MiMo-V2.5-Pro
Open in Playground

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs MiMo-V2.5-Pro.

Which is better, Llama-3.3 Nemotron Super 49B v1 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro leads the LLM Stats Score 25.7 to 13.1. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and MiMo-V2.5-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-3.3 Nemotron Super 49B v1 compare to MiMo-V2.5-Pro 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%. MiMo-V2.5-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and MiMo-V2.5-Pro?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and MiMo-V2.5-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-3.3 Nemotron Super 49B v1 and MiMo-V2.5-Pro?

Key differences include LLM Stats Score (13.1 vs 25.7), 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 MiMo-V2.5-Pro?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and MiMo-V2.5-Pro is developed by Xiaomi.

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