Model Comparison
DeepSeek-V3 vs LongCat-Flash-ChatWhich is better in 2026?
LongCat-Flash-Chat significantly outperforms across most benchmarks. DeepSeek-V3 is 1.1x cheaper per token.
Verdict: DeepSeek-V3 vs LongCat-Flash-Chat — which is better?
DeepSeek-V3 (by DeepSeek) and LongCat-Flash-Chat (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3 outperforms in 1 benchmarks (DROP), while LongCat-Flash-Chat is better at 7 benchmarks (GPQA, IFEval, LiveCodeBench, MATH-500, MMLU, MMLU-Pro, SWE-Bench Verified). LongCat-Flash-Chat significantly outperforms across most benchmarks.
On price, DeepSeek-V3 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 if…
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 131,072 token context window
Choose LongCat-Flash-Chat if…
- you want the strongest raw capability — it leads on 7 of 8 shared benchmarks
- you want the most recent training data — it shipped Aug 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 outperforms in 1 benchmarks (DROP), while LongCat-Flash-Chat is better at 7 benchmarks (GPQA, IFEval, LiveCodeBench, MATH-500, MMLU, MMLU-Pro, SWE-Bench Verified).
LongCat-Flash-Chat significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.1x cheaper than LongCat-Flash-Chat ($0.30/1M tokens).
For output processing, DeepSeek-V3 ($1.10/1M tokens) is 1.1x cheaper than LongCat-Flash-Chat ($1.20/1M tokens).
In conclusion, LongCat-Flash-Chat is more expensive than DeepSeek-V3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 has 111.0B more parameters than LongCat-Flash-Chat, making it 19.8% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 accepts 131,072 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while LongCat-Flash-Chat uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while LongCat-Flash-Chat was released on 2025-08-29.
LongCat-Flash-Chat is 8 months newer than DeepSeek-V3.
Dec 25, 2024
1.5 years ago
Aug 29, 2025
9 months ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3 is available from DeepSeek. LongCat-Flash-Chat is available from Meituan.
DeepSeek-V3
LongCat-Flash-Chat
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 vs LongCat-Flash-Chat.