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LFM3-1.7B vs MiMo-V2-Pro

MiMo-V2-Pro leads the LLM Stats Score 35.1 to 25.0.

Liquid AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2-Pro leads the overall LLM Stats Score 35.1 to 25.0, ranking #111 overall.

In the 3 individual benchmarks reported for both models, MiMo-V2-Pro wins 2; 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
  • you need open weights you can self-host or fine-tune

Choose MiMo-V2-Pro

  • overall performance matters — it scores 35.1 and ranks #111 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
MiMo-V2-Pro
Xiaomi
Core performance indexes
LLM Stats Score
25.0
#191
35.1
#111
Reasoning
20.8
#216
37.4
#88
Coding
7.4
#218
24.8
#94
Agents
18.1
#97
16.8
#108
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$1.00 / M
Output price
— / M
$3.00 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
MiMo-V2-Pro
Tool use
14.3#119
18.4#87
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 7 for MiMo-V2-Pro

3 shared

LFM3-1.7B outperforms in 1 benchmarks (Claw-Eval), while MiMo-V2-Pro is better at 2 benchmarks (SWE-bench Multilingual, SWE-Bench Verified).

MiMo-V2-Pro shows notably better performance in the majority of benchmarks.

Wed Nov 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

998.3B diff

MiMo-V2-Pro has 998.3B more parameters than LFM3-1.7B, making it 57703.5% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Xiaomi
MiMo-V2-Pro
1.0Tparameters
1.7B
LFM3-1.7B
1000.0B
MiMo-V2-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2-Pro specifies input context (1,000,000 tokens). Only MiMo-V2-Pro specifies output context (16,384 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Wed Nov 04 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while MiMo-V2-Pro uses a proprietary license.

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-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while MiMo-V2-Pro was released on 2026-03-18.

LFM3-1.7B is 7 months newer than MiMo-V2-Pro.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

7mo newer
MiMo-V2-Pro

Mar 18, 2026

7 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-Pro side-by-side, then vote on the output you prefer.

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

FAQ

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

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

MiMo-V2-Pro leads the LLM Stats Score 35.1 to 25.0. LFM3-1.7B is made by Liquid AI and MiMo-V2-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-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-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

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

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

Key differences include LLM Stats Score (25.0 vs 35.1), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

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