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Llama-3.3 Nemotron Super 49B v1 vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 12.6.

NVIDIA · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 12.6, ranking #20 overall.

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

Choose Llama-3.3 Nemotron Super 49B v1

  • you need open weights you can self-host or fine-tune

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Llama-3.3 Nemotron Super 49B v1
NVIDIA
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
12.6
#286
50.0
#20
Reasoning
12.8
#276
48.3
#21
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / 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
LongCat-2.5
Math
11.7#257
37.2#37
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for Llama-3.3 Nemotron Super 49B v1 · 23 for LongCat-2.5

No common benchmarks found

Llama-3.3 Nemotron Super 49B v1 and LongCat-2.5don'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

1550.1B diff

LongCat-2.5 has 1550.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 3106.4% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Meituan
LongCat-2.5
1.6Tparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
1600.0B
LongCat-2.5

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 20 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.6 years ago

LongCat-2.5

Nov 1, 2026

0 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while LongCat-2.5'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 LongCat-2.5's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

LongCat-2.5

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and LongCat-2.5 side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs LongCat-2.5.

Which is better, Llama-3.3 Nemotron Super 49B v1 or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 12.6. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and LongCat-2.5 is made by Meituan. 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 LongCat-2.5 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%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and LongCat-2.5?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and LongCat-2.5 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 LongCat-2.5?

Key differences include LLM Stats Score (12.6 vs 50.0), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama-3.3 Nemotron Super 49B v1 and LongCat-2.5?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and LongCat-2.5 is developed by Meituan.

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