Model Comparison

DeepSeek-R1 vs LongCat-Flash-Thinking

Comparing DeepSeek-R1 and LongCat-Flash-Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and LongCat-Flash-Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Thinking costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 1.8x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 1.8x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than LongCat-Flash-Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

111.0B diff

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

DeepSeek
DeepSeek-R1
671.0Bparameters
Meituan
LongCat-Flash-Thinking
560.0Bparameters
671.0B
DeepSeek-R1
560.0B
LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

DeepSeek-R1 accepts 131,072 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while LongCat-Flash-Thinking is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 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

MIT

Open weights

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while LongCat-Flash-Thinking was released on 2025-09-22.

LongCat-Flash-Thinking is 8 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

LongCat-Flash-Thinking

Sep 22, 2025

6 months ago

8mo 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

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. LongCat-Flash-Thinking is available from Meituan.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

LongCat-Flash-Thinking

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Meituan
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Meituan
LongCat-Flash-Thinking

FAQ

Common questions about DeepSeek-R1 vs LongCat-Flash-Thinking

DeepSeek-R1 (DeepSeek) and LongCat-Flash-Thinking (Meituan) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.
LongCat-Flash-Thinking is 1.8x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan.
DeepSeek-R1 supports 131K tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.55 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1 is developed by DeepSeek and LongCat-Flash-Thinking is developed by Meituan.