LongCat-2.5 vs Nemotron 3 Nano (30B A3B)
LongCat-2.5 leads the LLM Stats Score 50.0 to 20.4. Nemotron 3 Nano (30B A3B) is 6.0x cheaper per token.
Meituan · NVIDIA · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 20.4, ranking #20 overall.
On price, Nemotron 3 Nano (30B A3B) is roughly 6.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-2.5 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose LongCat-2.5
- overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Nemotron 3 Nano (30B A3B)
- cost matters — it's about 6.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for LongCat-2.5 · 15 for Nemotron 3 Nano (30B A3B)
LongCat-2.5 and Nemotron 3 Nano (30B A3B)don'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
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-2.5 ($0.30/1M tokens) is 6.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.05/1M tokens).
For output processing, LongCat-2.5 ($1.20/1M tokens) is 6.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.20/1M tokens).
In conclusion, LongCat-2.5 is more expensive than Nemotron 3 Nano (30B A3B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1568.0B more parameters than Nemotron 3 Nano (30B A3B), making it 4900.0% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Nemotron 3 Nano (30B A3B)'s 262,144 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while LongCat-2.5 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
LongCat-2.5 supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.
LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-2.5
Nemotron 3 Nano (30B A3B)
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.
LongCat-2.5 is 11 months newer than Nemotron 3 Nano (30B A3B).
Nov 1, 2026
4 days ago
10mo newerDec 15, 2025
10 months ago
Knowledge Cutoff
When training data ends
Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while LongCat-2.5's cutoff date is not specified.
We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without LongCat-2.5's cutoff date.
—
Nov 2025
Provider Availability
LongCat-2.5 is available from Meituan. Nemotron 3 Nano (30B A3B) is available from DeepInfra.
LongCat-2.5
Nemotron 3 Nano (30B A3B)
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and Nemotron 3 Nano (30B A3B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs Nemotron 3 Nano (30B A3B).