The AI arena is free today

Open Superagent

Ling 3.0 Flash Fin vs LongCat-Flash-Lite

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 18.8. Ling 3.0 Flash Fin is 1.9x cheaper per token.

InclusionAI · Meituan · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 18.8, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ling 3.0 Flash Fin also accepts a larger context window (262,144 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 Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 1.9x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • 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.

Ling 3.0 Flash Fin
InclusionAI
LongCat-Flash-Lite
Meituan
Core performance indexes
LLM Stats Score
43.3
#39
18.8
#208
Reasoning
44.7
#32
19.0
#202
Agents
29.5
#35
4.1
#156
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$0.10 / M
Output price
$0.18 / M
$0.40 / M
Context window
262,144
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Ling 3.0 Flash Fin
LongCat-Flash-Lite
Tool use
20.5#56
9.7#129
Finance
36.7#5
18.2#97
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 13 for LongCat-Flash-Lite

No common benchmarks found

Ling 3.0 Flash Fin 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

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash Fin costs less

For input processing, Ling 3.0 Flash Fin ($0.06/1M tokens) is 1.7x cheaper than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 2.2x cheaper than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, LongCat-Flash-Lite is more expensive than Ling 3.0 Flash Fin.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

55.5B diff

Ling 3.0 Flash Fin has 55.5B more parameters than LongCat-Flash-Lite, making it 81.0% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
124.0B
Ling 3.0 Flash Fin
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Wed Sep 09 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while LongCat-Flash-Lite was released on 2026-02-05.

Ling 3.0 Flash Fin is 7 months newer than LongCat-Flash-Lite.

Ling 3.0 Flash Fin

Sep 3, 2026

6 days ago

7mo newer
LongCat-Flash-Lite

Feb 5, 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.

No cutoff dates available

Provider Availability

Ling 3.0 Flash Fin is available from DeepInfra. LongCat-Flash-Lite is available from Meituan.

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and LongCat-Flash-Lite side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
LongCat-Flash-Lite
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs LongCat-Flash-Lite.

Which is better, Ling 3.0 Flash Fin or LongCat-Flash-Lite?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 18.8. Ling 3.0 Flash Fin 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 3.0 Flash Fin compare to LongCat-Flash-Lite in benchmarks?

Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.

Is Ling 3.0 Flash Fin cheaper than LongCat-Flash-Lite?

Ling 3.0 Flash Fin is 1.7x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.

What are the context window sizes for Ling 3.0 Flash Fin and LongCat-Flash-Lite?

Ling 3.0 Flash Fin supports 262K 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 3.0 Flash Fin and LongCat-Flash-Lite?

Key differences include LLM Stats Score (43.3 vs 18.8), context window (262K vs 256K), input pricing ($0.06 vs $0.10/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and LongCat-Flash-Lite?

Ling 3.0 Flash Fin is developed by InclusionAI and LongCat-Flash-Lite is developed by Meituan.

Related comparisons