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DeepSeek R1 Distill Llama 8B vs LongCat-Flash-Chat

LongCat-Flash-Chat leads the LLM Stats Score 19.9 to 7.1.

DeepSeek · Meituan · Updated for 2026

Which is better?

LongCat-Flash-Chat leads the overall LLM Stats Score 19.9 to 7.1, ranking #196 overall.

In the 3 individual benchmarks reported for both models, LongCat-Flash-Chat 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 DeepSeek R1 Distill Llama 8B

  • you are already invested in the DeepSeek ecosystem

Choose LongCat-Flash-Chat

  • overall performance matters — it scores 19.9 and ranks #196 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
LongCat-Flash-Chat
Meituan
Core performance indexes
LLM Stats Score
7.1
#288
19.9
#196
Reasoning
7.4
#280
19.8
#192
Coding
2.5
#222
12.4
#143
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
LongCat-Flash-Chat
Math
10.8#247
18.9#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 16 for LongCat-Flash-Chat

3 shared

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.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Tue Sep 08 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

1.6 years ago

LongCat-Flash-Chat

Aug 29, 2025

1.0 years 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 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

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 leads the LLM Stats Score 19.9 to 7.1. 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 capability indexes, individual benchmarks, pricing, and limits 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.

What are the main differences between DeepSeek R1 Distill Llama 8B and LongCat-Flash-Chat?

Key differences include LLM Stats Score (7.1 vs 19.9). See the full comparison above for benchmark-by-benchmark results.

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.

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