Model Comparison

DeepSeek R1 Distill Qwen 14B vs LongCat-Flash-Chat

LongCat-Flash-Chat shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (LiveCodeBench), while LongCat-Flash-Chat is better at 2 benchmarks (GPQA, MATH-500).

LongCat-Flash-Chat shows notably better performance in the majority of benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meituan
LongCat-Flash-Chat
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

545.2B diff

LongCat-Flash-Chat has 545.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 3683.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
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 Qwen 14B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 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 Qwen 14B

MIT

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B 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 Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

LongCat-Flash-Chat

Aug 29, 2025

7 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

Higher LiveCodeBench score (53.1% vs 48.0%)
Larger context window (128,000 tokens)
Higher GPQA score (73.2% vs 59.1%)
Higher MATH-500 score (96.4% vs 93.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Meituan
LongCat-Flash-Chat

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs LongCat-Flash-Chat

LongCat-Flash-Chat shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 14B 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.
DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.
DeepSeek R1 Distill Qwen 14B 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.
DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and LongCat-Flash-Chat is developed by Meituan.