Model Comparison

DeepSeek R1 Distill Llama 8B vs LongCat-Flash-ChatWhich is better in 2026?

LongCat-Flash-Chat significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Distill Llama 8B vs LongCat-Flash-Chat — which is better?

DeepSeek R1 Distill Llama 8B (by DeepSeek) and LongCat-Flash-Chat (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while LongCat-Flash-Chat is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500). LongCat-Flash-Chat significantly outperforms across most benchmarks.

Choose DeepSeek R1 Distill Llama 8B if…

  • you are already invested in the DeepSeek ecosystem

Choose LongCat-Flash-Chat if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while LongCat-Flash-Chat is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500).

LongCat-Flash-Chat significantly outperforms across most benchmarks.

Sat Jul 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

552.0B diff

LongCat-Flash-Chat has 552.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 6873.8% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
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 Distill Llama 8B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Sat Jul 25 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 Distill Llama 8B

MIT

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B 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 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.5 years ago

LongCat-Flash-Chat

Aug 29, 2025

11 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

Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (128,000 tokens)
Higher GPQA score (73.2% vs 49.0%)
Higher LiveCodeBench score (48.0% vs 39.6%)
Higher MATH-500 score (96.4% vs 89.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
LongCat-Flash-Chat
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
Meituan
LongCat-Flash-Chat

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs LongCat-Flash-Chat.

Which is better, DeepSeek R1 Distill Llama 8B or LongCat-Flash-Chat?

LongCat-Flash-Chat significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B 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 Distill Llama 8B compare to LongCat-Flash-Chat in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. 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 Distill Llama 8B and LongCat-Flash-Chat?

DeepSeek R1 Distill Llama 8B 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 Distill Llama 8B and LongCat-Flash-Chat?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and LongCat-Flash-Chat is developed by Meituan.