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DeepSeek R1 Zero vs LongCat-Flash-Chat

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

DeepSeek · Meituan · Updated for 2026

Which is better?

DeepSeek R1 Zero outperforms in 2 benchmarks (GPQA, LiveCodeBench), while LongCat-Flash-Chat is better at 1 benchmark (MATH-500). DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose LongCat-Flash-Chat

  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Benchmark wins
2 of 3
1 of 3
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
128,000
Released
Jan 2025
Aug 2025
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Zero outperforms in 2 benchmarks (GPQA, LiveCodeBench), while LongCat-Flash-Chat is better at 1 benchmark (MATH-500).

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

111.0B diff

DeepSeek R1 Zero has 111.0B more parameters than LongCat-Flash-Chat, making it 19.8% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
671.0B
DeepSeek R1 Zero
560.0B
LongCat-Flash-Chat

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).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Zero

MIT

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while LongCat-Flash-Chat was released on 2025-08-29.

LongCat-Flash-Chat is 7 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

LongCat-Flash-Chat

Aug 29, 2025

12 months ago

7mo 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
LongCat-Flash-Chat
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs LongCat-Flash-Chat.

Which is better, DeepSeek R1 Zero or LongCat-Flash-Chat?

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks. DeepSeek R1 Zero is made by DeepSeek and LongCat-Flash-Chat is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Zero compare to LongCat-Flash-Chat in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.

What are the context window sizes for DeepSeek R1 Zero and LongCat-Flash-Chat?

DeepSeek R1 Zero supports an unknown number of tokens and LongCat-Flash-Chat supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes DeepSeek R1 Zero and LongCat-Flash-Chat?

DeepSeek R1 Zero is developed by DeepSeek and LongCat-Flash-Chat is developed by Meituan.