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LFM3-1.7B vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 48.5 to 25.0.

Liquid AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 48.5 to 25.0, ranking #30 overall.

In the 1 individual benchmarks reported for both models, MiMo-V2.6-Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose LFM3-1.7B

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

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 48.5 and ranks #30 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
25.0
#191
48.5
#30
Reasoning
20.8
#216
45.6
#36
Coding
7.4
#218
39.1
#23
Agents
18.1
#97
36.3
#24
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
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
LFM3-1.7B
MiMo-V2.6-Pro
Tool use
14.3#119
29.9#18
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 18 for MiMo-V2.6-Pro

1 shared

LFM3-1.7B outperforms in 0 benchmarks, while MiMo-V2.6-Pro is better at 1 benchmark (Terminal-Bench 2.1).

MiMo-V2.6-Pro significantly outperforms across most benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1018.3B diff

MiMo-V2.6-Pro has 1018.3B more parameters than LFM3-1.7B, making it 58859.5% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
1.7B
LFM3-1.7B
1020.0B
MiMo-V2.6-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas LFM3-1.7B does not.

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

LFM3-1.7B

Text
Images
Audio
Video

MiMo-V2.6-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while MiMo-V2.6-Pro uses MIT.

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

LFM3-1.7B

LFM Open License v1.0

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while MiMo-V2.6-Pro was released on 2026-09-22.

LFM3-1.7B is 1 month newer than MiMo-V2.6-Pro.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1mo newer
MiMo-V2.6-Pro

Sep 22, 2026

1 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 LFM3-1.7B and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about LFM3-1.7B vs MiMo-V2.6-Pro.

Which is better, LFM3-1.7B or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 48.5 to 25.0. LFM3-1.7B is made by Liquid AI 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 LFM3-1.7B compare to MiMo-V2.6-Pro in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%.

What are the context window sizes for LFM3-1.7B and MiMo-V2.6-Pro?

LFM3-1.7B supports an unknown number of tokens and MiMo-V2.6-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 LFM3-1.7B and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (25.0 vs 48.5), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and MiMo-V2.6-Pro?

LFM3-1.7B is developed by Liquid AI and MiMo-V2.6-Pro is developed by Xiaomi.

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