DeepSeek-V4.1-Flash vs LongCat-2.5
DeepSeek-V4.1-Flash and LongCat-2.5 are closely matched at 49.5 and 50.0 on the LLM Stats Score. DeepSeek-V4.1-Flash is 1.6x cheaper per token.
DeepSeek · Meituan · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash and LongCat-2.5 are closely matched on the overall LLM Stats Score at 49.5 and 50.0.
In the 5 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4.1-Flash is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-2.5 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4.1-Flash
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- cost matters — it's about 1.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose LongCat-2.5
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 23 for LongCat-2.5
DeepSeek-V4.1-Flash outperforms in 3 benchmarks (DeepSWE 1.1, NL2Repo, Terminal-Bench 2.1), while LongCat-2.5 is better at 2 benchmarks (Program Bench, Terminal-Bench 4.0).
DeepSeek-V4.1-Flash has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 1.4x cheaper than LongCat-2.5 ($0.30/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 1.8x cheaper than LongCat-2.5 ($1.20/1M tokens).
In conclusion, LongCat-2.5 is more expensive than DeepSeek-V4.1-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 836.8B more parameters than DeepSeek-V4.1-Flash, making it 109.6% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while LongCat-2.5 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and LongCat-2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
LongCat-2.5
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash was released on 2026-09-10, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 2 months newer than DeepSeek-V4.1-Flash.
Sep 10, 2026
1 months ago
Nov 1, 2026
4 days ago
1mo 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-V4.1-Flash is available from Fireworks, DeepInfra, Novita. LongCat-2.5 is available from Meituan.
DeepSeek-V4.1-Flash
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs LongCat-2.5.