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LongCat-Flash-Thinking-2601 vs Nemotron Labs Dory 1.0 (4B)

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.2 to 22.1.

Meituan · NVIDIA · Updated for 2026

Which is better?

LongCat-Flash-Thinking-2601 leads the overall LLM Stats Score 35.2 to 22.1, ranking #105 overall.

In the 3 individual benchmarks reported for both models, LongCat-Flash-Thinking-2601 wins 3; 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 LongCat-Flash-Thinking-2601

  • overall performance matters — it scores 35.2 and ranks #105 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Nemotron Labs Dory 1.0 (4B)

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

LongCat-Flash-Thinking-2601
Meituan
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
35.2
#105
22.1
#202
Reasoning
35.3
#99
19.8
#213
Coding
18.7
#127
2.9
#242
Agents
9.4
#144
-0.7
#198
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LongCat-Flash-Thinking-2601
Nemotron Labs Dory 1.0 (4B)
Math
30.3#81
12.2#245
Tool use
24.3#41
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for LongCat-Flash-Thinking-2601 · 10 for Nemotron Labs Dory 1.0 (4B)

3 shared

LongCat-Flash-Thinking-2601 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

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

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

556.0B diff

LongCat-Flash-Thinking-2601 has 556.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 13900.0% larger.

Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
560.0B
LongCat-Flash-Thinking-2601
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Thinking-2601 is licensed under MIT, while Nemotron Labs Dory 1.0 (4B) uses OpenMDW License v1.1.

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

LongCat-Flash-Thinking-2601

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking-2601 was released on 2026-01-14, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 9 months newer than LongCat-Flash-Thinking-2601.

LongCat-Flash-Thinking-2601

Jan 14, 2026

9 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

9mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-Flash-Thinking-2601 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

LongCat-Flash-Thinking-2601
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs Nemotron Labs Dory 1.0 (4B).

Which is better, LongCat-Flash-Thinking-2601 or Nemotron Labs Dory 1.0 (4B)?

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.2 to 22.1. LongCat-Flash-Thinking-2601 is made by Meituan and Nemotron Labs Dory 1.0 (4B) 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 Labs Dory 1.0 (4B) 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 Labs Dory 1.0 (4B) scores IFBench: 77.9%, GPQA: 72.4%, AA-LCR: 71.0%, SWE-Bench Verified: 59.5%, SciCode: 34.9%.

What are the context window sizes for LongCat-Flash-Thinking-2601 and Nemotron Labs Dory 1.0 (4B)?

LongCat-Flash-Thinking-2601 supports 128K tokens and Nemotron Labs Dory 1.0 (4B) supports an unknown number of 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 Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (35.2 vs 22.1), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking-2601 and Nemotron Labs Dory 1.0 (4B)?

LongCat-Flash-Thinking-2601 is developed by Meituan and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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