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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.

Core performance indexes
51.0
#15
18.6
#226
47.5
#26
18.9
#220
38.8
#18
7.0
#200
38.0
#12
4.0
#172
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.40 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.1 Flash
LongCat-Flash-Lite
29.0#16
9.5#143
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Ling 3.1 Flash · 13 for LongCat-Flash-Lite

No common benchmarks found

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

491.5B diff

Ling 3.1 Flash has 491.5B more parameters than LongCat-Flash-Lite, making it 717.5% larger.

InclusionAI
Ling 3.1 Flash
560.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
560.0B
Ling 3.1 Flash
68.5B
LongCat-Flash-Lite

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).

InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

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.

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

7mo newer
LongCat-Flash-Lite

Feb 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

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.

Ling 3.1 Flash
✓ Preferred
LongCat-Flash-Lite
Open in Playground

FAQ

Common questions about Ling 3.1 Flash vs LongCat-Flash-Lite.

Which is better, Ling 3.1 Flash or LongCat-Flash-Lite?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 18.6. Ling 3.1 Flash is made by InclusionAI and LongCat-Flash-Lite is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.1 Flash compare to LongCat-Flash-Lite in benchmarks?

Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.

What are the context window sizes for Ling 3.1 Flash and LongCat-Flash-Lite?

Ling 3.1 Flash supports an unknown number of tokens and LongCat-Flash-Lite supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.1 Flash and LongCat-Flash-Lite?

Key differences include LLM Stats Score (51.0 vs 18.6), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.1 Flash and LongCat-Flash-Lite?

Ling 3.1 Flash is developed by InclusionAI and LongCat-Flash-Lite is developed by Meituan.