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Ling 3.0 Flash Fin vs MAI-Thinking-1

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 33.1.

InclusionAI · Microsoft · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 33.1, ranking #39 overall.

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
  • you want the most recent training data — it shipped Sep 2026

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
MAI-Thinking-1
Microsoft
Core performance indexes
LLM Stats Score
43.3
#39
33.1
#100
Reasoning
44.7
#32
33.9
#91
Agents
29.5
#35
12.8
#96
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Ling 3.0 Flash Fin
MAI-Thinking-1
Tool use
20.5#56
10.7#118
Finance
36.7#5
29.2#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 23 for MAI-Thinking-1

No common benchmarks found

Ling 3.0 Flash Fin and MAI-Thinking-1don'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

876.0B diff

MAI-Thinking-1 has 876.0B more parameters than Ling 3.0 Flash Fin, making it 706.5% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Microsoft
MAI-Thinking-1
1.0Tparameters
124.0B
Ling 3.0 Flash Fin
1000.0B
MAI-Thinking-1

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Microsoft
MAI-Thinking-1
Input- tokens
Output- 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 MAI-Thinking-1 was released on 2026-06-02.

Ling 3.0 Flash Fin is 3 months newer than MAI-Thinking-1.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

3mo newer
MAI-Thinking-1

Jun 2, 2026

3 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
MAI-Thinking-1
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs MAI-Thinking-1.

Which is better, Ling 3.0 Flash Fin or MAI-Thinking-1?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 33.1. Ling 3.0 Flash Fin is made by InclusionAI and MAI-Thinking-1 is made by Microsoft. 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 MAI-Thinking-1 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%. MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%.

What are the context window sizes for Ling 3.0 Flash Fin and MAI-Thinking-1?

Ling 3.0 Flash Fin supports 262K tokens and MAI-Thinking-1 supports an unknown number of 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 MAI-Thinking-1?

Key differences include LLM Stats Score (43.3 vs 33.1), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and MAI-Thinking-1?

Ling 3.0 Flash Fin is developed by InclusionAI and MAI-Thinking-1 is developed by Microsoft.

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