Ling 3.1 Flash vs LongCat-Flash-Lite
Ling 3.1 Flash leads the LLM Stats Score 51.0 to 18.6.
InclusionAI · Meituan · Updated for 2026
Which is better?
Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 18.6, ranking #15 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Ling 3.1 Flash
- overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose LongCat-Flash-Lite
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Ling 3.1 Flash · 13 for LongCat-Flash-Lite
Ling 3.1 Flash and LongCat-Flash-Litedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Ling 3.1 Flash has 491.5B more parameters than LongCat-Flash-Lite, making it 717.5% larger.
Context Window
Maximum input and output token capacity
Only LongCat-Flash-Lite specifies input context (256,000 tokens). Only LongCat-Flash-Lite specifies output context (128,000 tokens).
Release Timeline
When each model was launched
Ling 3.1 Flash was released on 2026-09-30, while LongCat-Flash-Lite was released on 2026-02-05.
Ling 3.1 Flash is 8 months newer than LongCat-Flash-Lite.
Sep 30, 2026
1 weeks ago
7mo newerFeb 5, 2026
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.
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.1 Flash and LongCat-Flash-Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.1 Flash vs LongCat-Flash-Lite.