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LFM3-VL-2B vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads the LLM Stats Score 25.1 to 15.5.

Liquid AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.5-Pro leads the overall LLM Stats Score 25.1 to 15.5, ranking #189 overall.

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

Choose LFM3-VL-2B

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

Choose MiMo-V2.5-Pro

  • overall performance matters — it scores 25.1 and ranks #189 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
MiMo-V2.5-Pro
Xiaomi
Core performance indexes
LLM Stats Score
15.5
#265
25.1
#189
Reasoning
16.2
#252
23.5
#196
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.43 / M
Output price
— / M
$0.87 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
MiMo-V2.5-Pro
Math
19.0#187
25.4#118
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 31 for MiMo-V2.5-Pro

No common benchmarks found

LFM3-VL-2B and MiMo-V2.5-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

1021.3B diff

MiMo-V2.5-Pro has 1021.3B more parameters than LFM3-VL-2B, making it 53194.0% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
1.9B
LFM3-VL-2B
1023.2B
MiMo-V2.5-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2.5-Pro specifies input context (1,048,576 tokens). Only MiMo-V2.5-Pro specifies output context (131,072 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas MiMo-V2.5-Pro does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-VL-2B

Text
Images
Audio
Video

MiMo-V2.5-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while MiMo-V2.5-Pro uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

LFM3-VL-2B

LFM Open License v1.0

Open weights

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while MiMo-V2.5-Pro was released on 2026-04-27.

LFM3-VL-2B is 6 months newer than MiMo-V2.5-Pro.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

6mo newer
MiMo-V2.5-Pro

Apr 27, 2026

6 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 LFM3-VL-2B and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
MiMo-V2.5-Pro
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs MiMo-V2.5-Pro.

Which is better, LFM3-VL-2B or MiMo-V2.5-Pro?

MiMo-V2.5-Pro leads the LLM Stats Score 25.1 to 15.5. LFM3-VL-2B is made by Liquid AI and MiMo-V2.5-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 LFM3-VL-2B compare to MiMo-V2.5-Pro in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. MiMo-V2.5-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

What are the context window sizes for LFM3-VL-2B and MiMo-V2.5-Pro?

LFM3-VL-2B supports an unknown number of tokens and MiMo-V2.5-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM3-VL-2B and MiMo-V2.5-Pro?

Key differences include LLM Stats Score (15.5 vs 25.1), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and MiMo-V2.5-Pro?

LFM3-VL-2B is developed by Liquid AI and MiMo-V2.5-Pro is developed by Xiaomi.

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