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LFM2.5-VL-3B vs MiniMax M2

Comparing LFM2.5-VL-3B and MiniMax M2 across benchmarks, pricing, and capabilities.

Liquid AI · MiniMax · Updated for 2026

Which is better?

LFM2.5-VL-3B and MiniMax M2 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

Choose MiniMax M2

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
MiniMax M2
MiniMax
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
1,000,000
Released
Aug 2026
Oct 2025
License
LFM Open License v1.0
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and MiniMax M2don'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

Model Size

Parameter count comparison

226.9B diff

MiniMax M2 has 226.9B more parameters than LFM2.5-VL-3B, making it 7263.6% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
MiniMax
MiniMax M2
230.0Bparameters
3.1B
LFM2.5-VL-3B
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

Only MiniMax M2 specifies input context (1,000,000 tokens). Only MiniMax M2 specifies output context (1,000,000 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas MiniMax M2 does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

MiniMax M2

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while MiniMax M2 uses MIT.

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

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while MiniMax M2 was released on 2025-10-27.

LFM2.5-VL-3B is 10 months newer than MiniMax M2.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

9mo newer
MiniMax M2

Oct 27, 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and MiniMax M2 side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
MiniMax M2
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs MiniMax M2.

Which is better, LFM2.5-VL-3B or MiniMax M2?

LFM2.5-VL-3B (Liquid AI) and MiniMax M2 (MiniMax) 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 MiniMax M2 in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

What are the context window sizes for LFM2.5-VL-3B and MiniMax M2?

LFM2.5-VL-3B supports an unknown number of tokens and MiniMax M2 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 LFM2.5-VL-3B and MiniMax M2?

Key differences include 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 LFM2.5-VL-3B and MiniMax M2?

LFM2.5-VL-3B is developed by Liquid AI and MiniMax M2 is developed by MiniMax.

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