DeepSeek-V4-Pro-0813 vs LongCat-Flash-Thinking-2601
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. LongCat-Flash-Thinking-2601 is 1.0x cheaper per token.
DeepSeek · Meituan · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose LongCat-Flash-Thinking-2601
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.4x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.4x cheaper than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than LongCat-Flash-Thinking-2601.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1040.0B more parameters than LongCat-Flash-Thinking-2601, making it 185.7% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while LongCat-Flash-Thinking-2601 is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.
DeepSeek-V4-Pro-0813 is 7 months newer than LongCat-Flash-Thinking-2601.
Aug 13, 2026
1 weeks ago
7mo newerJan 14, 2026
7 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
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. LongCat-Flash-Thinking-2601 is available from Meituan.
DeepSeek-V4-Pro-0813
LongCat-Flash-Thinking-2601
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs LongCat-Flash-Thinking-2601.