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LFM3-VL-2B vs MiMo-V2-Flash

MiMo-V2-Flash leads the LLM Stats Score 30.1 to 15.5.

Liquid AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2-Flash leads the overall LLM Stats Score 30.1 to 15.5, ranking #149 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-Flash

  • overall performance matters — it scores 30.1 and ranks #149 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-Flash
Xiaomi
Core performance indexes
LLM Stats Score
15.5
#265
30.1
#149
Reasoning
16.2
#252
30.2
#145
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
MiMo-V2-Flash
Math
19.0#187
29.2#96
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 15 for MiMo-V2-Flash

No common benchmarks found

LFM3-VL-2B and MiMo-V2-Flashdon'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

307.1B diff

MiMo-V2-Flash has 307.1B more parameters than LFM3-VL-2B, making it 15993.8% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
1.9B
LFM3-VL-2B
309.0B
MiMo-V2-Flash

Context Window

Maximum input and output token capacity

Only MiMo-V2-Flash specifies input context (256,000 tokens). Only MiMo-V2-Flash specifies output context (16,384 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas MiMo-V2-Flash 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-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while MiMo-V2-Flash 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-Flash

MIT

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while MiMo-V2-Flash was released on 2025-12-16.

LFM3-VL-2B is 11 months newer than MiMo-V2-Flash.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

10mo newer
MiMo-V2-Flash

Dec 16, 2025

10 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-Flash side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
MiMo-V2-Flash
Open in Playground

FAQ

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

Which is better, LFM3-VL-2B or MiMo-V2-Flash?

MiMo-V2-Flash leads the LLM Stats Score 30.1 to 15.5. LFM3-VL-2B is made by Liquid AI and MiMo-V2-Flash 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-Flash in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

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

LFM3-VL-2B supports an unknown number of tokens and MiMo-V2-Flash 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 LFM3-VL-2B and MiMo-V2-Flash?

Key differences include LLM Stats Score (15.5 vs 30.1), 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-Flash?

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

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