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LFM3-1.7B vs MiMo-V2.5

MiMo-V2.5 leads the LLM Stats Score 35.8 to 25.0.

Liquid AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.5 leads the overall LLM Stats Score 35.8 to 25.0, ranking #106 overall.

In the 1 individual benchmarks reported for both models, LFM3-1.7B 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose MiMo-V2.5

  • overall performance matters — it scores 35.8 and ranks #106 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
MiMo-V2.5
Xiaomi
Core performance indexes
LLM Stats Score
25.0
#191
35.8
#106
Reasoning
20.8
#216
35.6
#105
Coding
7.4
#218
28.1
#79
Agents
18.1
#97
20.6
#87
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.17 / M
Output price
— / M
$0.34 / M
Context window
—
1,048,576

Individual benchmarks

20 reported for LFM3-1.7B · 14 for MiMo-V2.5

1 shared

LFM3-1.7B outperforms in 1 benchmarks (Claw-Eval), while MiMo-V2.5 is better at 0 benchmarks.

LFM3-1.7B 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

309.0B diff

MiMo-V2.5 has 309.0B more parameters than LFM3-1.7B, making it 17863.9% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Xiaomi
MiMo-V2.5
310.8Bparameters
1.7B
LFM3-1.7B
310.8B
MiMo-V2.5

Context Window

Maximum input and output token capacity

Only MiMo-V2.5 specifies input context (1,048,576 tokens). Only MiMo-V2.5 specifies output context (131,072 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.5 supports multimodal inputs, whereas LFM3-1.7B does not.

MiMo-V2.5 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-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while MiMo-V2.5 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-V2.5

MIT

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while MiMo-V2.5 was released on 2026-04-22.

LFM3-1.7B is 6 months newer than MiMo-V2.5.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

6mo newer
MiMo-V2.5

Apr 22, 2026

6 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-V2.5 side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
MiMo-V2.5
Open in Playground

FAQ

Common questions about LFM3-1.7B vs MiMo-V2.5.

Which is better, LFM3-1.7B or MiMo-V2.5?

MiMo-V2.5 leads the LLM Stats Score 35.8 to 25.0. LFM3-1.7B is made by Liquid AI and MiMo-V2.5 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-V2.5 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-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

What are the context window sizes for LFM3-1.7B and MiMo-V2.5?

LFM3-1.7B supports an unknown number of tokens and MiMo-V2.5 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-V2.5?

Key differences include LLM Stats Score (25.0 vs 35.8), 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-V2.5?

LFM3-1.7B is developed by Liquid AI and MiMo-V2.5 is developed by Xiaomi.

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