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LongCat-Flash-Thinking-2601 vs Nemotron 3 Nano (30B A3B)

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.3 to 21.0. Nemotron 3 Nano (30B A3B) is 6.0x cheaper per token.

Meituan · NVIDIA · Updated for 2026

Which is better?

LongCat-Flash-Thinking-2601 leads the overall LLM Stats Score 35.3 to 21.0, ranking #86 overall.

In the 7 individual benchmarks reported for both models, LongCat-Flash-Thinking-2601 wins 7; this is a narrower head-to-head signal than the composite indexes.

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.

Nemotron 3 Nano (30B A3B) also accepts a larger context window (262,144 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-Flash-Thinking-2601

  • overall performance matters — it scores 35.3 and ranks #86 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 7 of 7 exact shared results
  • you want the most recent training data — it shipped Jan 2026

Choose Nemotron 3 Nano (30B A3B)

  • cost matters — it's about 6.0x cheaper per token
  • you process long inputs — it offers a 262,144 token context window

At a glance

The differences that matter most.

Core performance indexes
35.3
#86
21.0
#190
35.5
#81
19.7
#195
18.8
#109
0.6
#238
9.6
#121
-6.7
#182
Cost, coverage & limits
Benchmark wins
7 of 7
0 of 7
Input price
$0.30 / M
$0.05 / M
Output price
$1.20 / M
$0.20 / M
Context window
128,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LongCat-Flash-Thinking-2601
Nemotron 3 Nano (30B A3B)
30.5#74
22.3#140
24.5#37
-1.9#183
30.1#2
3.0#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for LongCat-Flash-Thinking-2601 · 15 for Nemotron 3 Nano (30B A3B)

7 shared

LongCat-Flash-Thinking-2601 outperforms in 7 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified, Tau2 Airline, Tau2 Retail, Tau2 Telecom), while Nemotron 3 Nano (30B A3B) is better at 0 benchmarks.

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, LongCat-Flash-Thinking-2601 ($0.30/1M tokens) is 6.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.05/1M tokens).

For output processing, LongCat-Flash-Thinking-2601 ($1.20/1M tokens) is 6.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.20/1M tokens).

In conclusion, LongCat-Flash-Thinking-2601 is more expensive than Nemotron 3 Nano (30B A3B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.05
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

528.0B diff

LongCat-Flash-Thinking-2601 has 528.0B more parameters than Nemotron 3 Nano (30B A3B), making it 1650.0% larger.

Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
560.0B
LongCat-Flash-Thinking-2601
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.

Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Sun Sep 20 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Thinking-2601 is licensed under MIT, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .

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

LongCat-Flash-Thinking-2601

MIT

Open weights

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking-2601 was released on 2026-01-14, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

LongCat-Flash-Thinking-2601 is 1 month newer than Nemotron 3 Nano (30B A3B).

LongCat-Flash-Thinking-2601

Jan 14, 2026

8 months ago

1mo newer
Nemotron 3 Nano (30B A3B)

Dec 15, 2025

9 months ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while LongCat-Flash-Thinking-2601'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-Flash-Thinking-2601's cutoff date.

LongCat-Flash-Thinking-2601

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

LongCat-Flash-Thinking-2601 is available from Meituan. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

LongCat-Flash-Thinking-2601

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against LongCat-Flash-Thinking-2601 and Nemotron 3 Nano (30B A3B) side-by-side, then vote on the output you prefer.

LongCat-Flash-Thinking-2601
✓ Preferred
Nemotron 3 Nano (30B A3B)
Open in Playground

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs Nemotron 3 Nano (30B A3B).

Which is better, LongCat-Flash-Thinking-2601 or Nemotron 3 Nano (30B A3B)?

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.3 to 21.0. LongCat-Flash-Thinking-2601 is made by Meituan and Nemotron 3 Nano (30B A3B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-Flash-Thinking-2601 compare to Nemotron 3 Nano (30B A3B) in benchmarks?

LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is LongCat-Flash-Thinking-2601 cheaper than Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is 6.0x cheaper for input tokens. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan. Nemotron 3 Nano (30B A3B) costs $0.05/M input and $0.20/M output via deepinfra.

What are the context window sizes for LongCat-Flash-Thinking-2601 and Nemotron 3 Nano (30B A3B)?

LongCat-Flash-Thinking-2601 supports 128K tokens and Nemotron 3 Nano (30B A3B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LongCat-Flash-Thinking-2601 and Nemotron 3 Nano (30B A3B)?

Key differences include LLM Stats Score (35.3 vs 21.0), context window (128K vs 262K), input pricing ($0.30 vs $0.05/M), licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking-2601 and Nemotron 3 Nano (30B A3B)?

LongCat-Flash-Thinking-2601 is developed by Meituan and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.