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Ling 3.0 Flash Fin vs MiMo-V2.6-Pro

Ling 3.0 Flash Fin and MiMo-V2.6-Pro are closely matched at 43.0 and 40.6 on the LLM Stats Score.

InclusionAI · Xiaomi · Updated for 2026

Which is better?

Ling 3.0 Flash Fin and MiMo-V2.6-Pro are closely matched on the overall LLM Stats Score at 43.0 and 40.6.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Ling 3.0 Flash Fin

  • you want predictable pricing at $0.06/M input and $0.18/M output

Choose MiMo-V2.6-Pro

  • you want the most recent training data — it shipped Sep 2026
  • 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
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
43.0
#46
40.6
#57
Agents
29.1
#42
29.9
#38
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 3 for MiMo-V2.6-Pro

No common benchmarks found

Ling 3.0 Flash Fin and MiMo-V2.6-Prodon'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

896.0B diff

MiMo-V2.6-Pro has 896.0B more parameters than Ling 3.0 Flash Fin, making it 722.6% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
124.0B
Ling 3.0 Flash Fin
1020.0B
MiMo-V2.6-Pro

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
Xiaomi
MiMo-V2.6-Pro
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ling 3.0 Flash Fin

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 1 month newer than Ling 3.0 Flash Fin.

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

2w newer

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 MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs MiMo-V2.6-Pro.

Which is better, Ling 3.0 Flash Fin or MiMo-V2.6-Pro?

Ling 3.0 Flash Fin and MiMo-V2.6-Pro are closely matched on the LLM Stats Score at 43.0 and 40.6. Ling 3.0 Flash Fin is made by InclusionAI and MiMo-V2.6-Pro is made by Xiaomi. 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 MiMo-V2.6-Pro 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%. MiMo-V2.6-Pro scores DeepSWE 1.1: 71.9%, MiMo Coding Bench: 63.2%, Program Bench: 26.5%.

What are the context window sizes for Ling 3.0 Flash Fin and MiMo-V2.6-Pro?

Ling 3.0 Flash Fin supports 262K tokens and MiMo-V2.6-Pro 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 MiMo-V2.6-Pro?

Key differences include LLM Stats Score (43.0 vs 40.6), multimodal support (no vs yes), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and MiMo-V2.6-Pro?

Ling 3.0 Flash Fin is developed by InclusionAI and MiMo-V2.6-Pro is developed by Xiaomi.

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