The AI arena is free today

Open Superagent

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

LongCat-Flash-Chat and Nemotron Labs Dory 1.0 (4B) are closely matched at 19.5 and 22.1 on the LLM Stats Score.

Meituan · NVIDIA · Updated for 2026

Which is better?

LongCat-Flash-Chat and Nemotron Labs Dory 1.0 (4B) are closely matched on the overall LLM Stats Score at 19.5 and 22.1.

In the 2 individual benchmarks reported for both models, LongCat-Flash-Chat wins 2; 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-Chat

  • you value its reported benchmark strengths — it wins 2 of 2 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-Chat
Meituan
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
19.5
#222
22.1
#202
Reasoning
19.5
#218
19.8
#213
Coding
12.2
#166
2.9
#241
Agents
9.0
#149
-0.7
#198
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
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-Chat
Nemotron Labs Dory 1.0 (4B)
Math
18.9#185
12.2#245
Tool use
8.4#154
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for LongCat-Flash-Chat · 10 for Nemotron Labs Dory 1.0 (4B)

2 shared

LongCat-Flash-Chat outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

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

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

Context Window

Maximum input and output token capacity

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

Meituan
LongCat-Flash-Chat
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-Chat 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-Chat

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Chat was released on 2025-08-29, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 14 months newer than LongCat-Flash-Chat.

LongCat-Flash-Chat

Aug 29, 2025

1.1 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

1.1yr 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-Chat and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

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

FAQ

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

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

LongCat-Flash-Chat and Nemotron Labs Dory 1.0 (4B) are closely matched on the LLM Stats Score at 19.5 and 22.1. LongCat-Flash-Chat 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-Chat compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%. 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-Chat and Nemotron Labs Dory 1.0 (4B)?

LongCat-Flash-Chat 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-Chat and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (19.5 vs 22.1), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

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

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

Related comparisons