Model Comparison
LongCat-Flash-Thinking-2601 vs Qwen3-235B-A22B-Thinking-2507
LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks. LongCat-Flash-Thinking-2601 is 1.9x cheaper per token.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Thinking-2601 outperforms in 5 benchmarks (AIME 2025, Humanity's Last Exam, Tau2 Airline, Tau2 Retail, Tau2 Telecom), while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (GPQA).
LongCat-Flash-Thinking-2601 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, LongCat-Flash-Thinking-2601 ($0.30/1M tokens) costs the same as Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).
For output processing, LongCat-Flash-Thinking-2601 ($1.20/1M tokens) is 2.5x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).
In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than LongCat-Flash-Thinking-2601.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-Flash-Thinking-2601 has 325.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 138.3% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.
License
Usage and distribution terms
LongCat-Flash-Thinking-2601 is licensed under MIT, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
LongCat-Flash-Thinking-2601 was released on 2026-01-14, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
LongCat-Flash-Thinking-2601 is 6 months newer than Qwen3-235B-A22B-Thinking-2507.
Jan 14, 2026
3 months ago
5mo newerJul 25, 2025
8 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
LongCat-Flash-Thinking-2601 is available from Meituan. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.
LongCat-Flash-Thinking-2601
Qwen3-235B-A22B-Thinking-2507
Outputs Comparison
Key Takeaways
Qwen3-235B-A22B-Thinking-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about LongCat-Flash-Thinking-2601 vs Qwen3-235B-A22B-Thinking-2507