Model Comparison

LongCat-Flash-Thinking vs LongCat-Flash-Thinking-2601

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. LongCat-Flash-Thinking and LongCat-Flash-Thinking-2601 cost the same.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

LongCat-Flash-Thinking outperforms in 1 benchmarks (GPQA), while LongCat-Flash-Thinking-2601 is better at 6 benchmarks (AIME 2025, LiveCodeBench, SWE-Bench Verified, Tau2 Airline, Tau2 Retail, Tau2 Telecom).

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

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

For input processing, LongCat-Flash-Thinking ($0.30/1M tokens) costs the same as LongCat-Flash-Thinking-2601 ($0.30/1M tokens).

For output processing, LongCat-Flash-Thinking ($1.20/1M tokens) costs the same as LongCat-Flash-Thinking-2601 ($1.20/1M tokens).

In conclusion, LongCat-Flash-Thinking and LongCat-Flash-Thinking-2601 cost the same.*

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

Lowest available price from all providers
Wed May 13 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

0.0M diff

LongCat-Flash-Thinking-2601 has 0.0B more parameters than LongCat-Flash-Thinking, making it 0.0% larger.

Meituan
LongCat-Flash-Thinking
560.0Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
560.0B
LongCat-Flash-Thinking
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Wed May 13 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.

LongCat-Flash-Thinking

MIT

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

LongCat-Flash-Thinking-2601 is 4 months newer than LongCat-Flash-Thinking.

LongCat-Flash-Thinking

Sep 22, 2025

7 months ago

LongCat-Flash-Thinking-2601

Jan 14, 2026

3 months ago

3mo 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

LongCat-Flash-Thinking is available from Meituan. LongCat-Flash-Thinking-2601 is available from Meituan.

LongCat-Flash-Thinking

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

LongCat-Flash-Thinking-2601

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

Outputs Comparison

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Key Takeaways

Meituan
Higher GPQA score (81.5% vs 80.5%)
Meituan
Higher AIME 2025 score (99.6% vs 90.6%)
Higher LiveCodeBench score (82.8% vs 79.4%)
Higher SWE-Bench Verified score (70.0% vs 59.4%)
Higher Tau2 Airline score (76.5% vs 67.5%)
Higher Tau2 Retail score (88.6% vs 71.5%)
Higher Tau2 Telecom score (99.3% vs 83.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Thinking
Meituan
LongCat-Flash-Thinking-2601

FAQ

Common questions about LongCat-Flash-Thinking vs LongCat-Flash-Thinking-2601.

Which is better, LongCat-Flash-Thinking or LongCat-Flash-Thinking-2601?

LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. LongCat-Flash-Thinking is made by Meituan 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.

How does LongCat-Flash-Thinking compare to LongCat-Flash-Thinking-2601 in benchmarks?

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-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

Is LongCat-Flash-Thinking cheaper than LongCat-Flash-Thinking-2601?

Both models cost $0.30 per million input tokens.

What are the context window sizes for LongCat-Flash-Thinking and LongCat-Flash-Thinking-2601?

LongCat-Flash-Thinking supports 128K 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.