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LFM2.5-VL-3B vs MiMo-V2-Omni

Comparing LFM2.5-VL-3B and MiMo-V2-Omni across benchmarks, pricing, and capabilities.

Liquid AI · Xiaomi · Updated for 2026

Which is better?

LFM2.5-VL-3B and MiMo-V2-Omni trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose MiMo-V2-Omni

  • you want predictable pricing at $0.40/M input and $2.00/M output

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
MiMo-V2-Omni
Xiaomi
Benchmark wins
—
—
Input price
— / M
$0.40 / M
Output price
— / M
$2.00 / M
Context window
—
262,000
Released
Aug 2026
Mar 2026
License
LFM Open License v1.0
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and MiMo-V2-Omnidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only MiMo-V2-Omni specifies input context (262,000 tokens). Only MiMo-V2-Omni specifies output context (16,384 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Omni
Input262,000 tokens
Output16,384 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both LFM2.5-VL-3B and MiMo-V2-Omni support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

LFM2.5-VL-3B

Text
Images
Audio
Video

MiMo-V2-Omni

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while MiMo-V2-Omni uses a proprietary license.

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

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

MiMo-V2-Omni

Proprietary

Closed source

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while MiMo-V2-Omni was released on 2026-03-18.

LFM2.5-VL-3B is 5 months newer than MiMo-V2-Omni.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

4mo newer
MiMo-V2-Omni

Mar 18, 2026

5 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 LFM2.5-VL-3B and MiMo-V2-Omni side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
MiMo-V2-Omni
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs MiMo-V2-Omni.

Which is better, LFM2.5-VL-3B or MiMo-V2-Omni?

LFM2.5-VL-3B (Liquid AI) and MiMo-V2-Omni (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to MiMo-V2-Omni in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. MiMo-V2-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%.

What are the context window sizes for LFM2.5-VL-3B and MiMo-V2-Omni?

LFM2.5-VL-3B supports an unknown number of tokens and MiMo-V2-Omni supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM2.5-VL-3B and MiMo-V2-Omni?

Key differences include licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM2.5-VL-3B and MiMo-V2-Omni?

LFM2.5-VL-3B is developed by Liquid AI and MiMo-V2-Omni is developed by Xiaomi.

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