Model Comparison

DeepSeek R1 Distill Qwen 7B vs LongCat-Flash-Thinking-2601

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 0 benchmarks, while LongCat-Flash-Thinking-2601 is better at 2 benchmarks (GPQA, LiveCodeBench).

LongCat-Flash-Thinking-2601 significantly outperforms across most 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 7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
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Model Size

Parameter count comparison

552.4B diff

LongCat-Flash-Thinking-2601 has 552.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 7249.1% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking-2601
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 7B

MIT

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

LongCat-Flash-Thinking-2601 is 12 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.2 years ago

LongCat-Flash-Thinking-2601

Jan 14, 2026

3 months ago

11mo 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

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Key Takeaways

DeepSeek
Meituan
Larger context window (128,000 tokens)
Higher GPQA score (80.5% vs 49.1%)
Higher LiveCodeBench score (82.8% vs 37.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
Meituan
LongCat-Flash-Thinking-2601

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs LongCat-Flash-Thinking-2601

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and LongCat-Flash-Thinking-2601 is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.
DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and LongCat-Flash-Thinking-2601 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and LongCat-Flash-Thinking-2601 is developed by Meituan.