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LFM3-1.7B vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 52.0 to 25.0.

Liquid AI · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 52.0 to 25.0, ranking #15 overall.

In the 2 individual benchmarks reported for both models, Muse Spark 1.3 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 Muse Spark 1.3

  • overall performance matters — it scores 52.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
25.0
#192
52.0
#15
Reasoning
20.8
#216
50.1
#13
Coding
7.4
#218
39.2
#21
Agents
18.1
#97
37.9
#19
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LFM3-1.7B
Muse Spark 1.3
Tool use
14.3#119
30.9#9
Long context
5.1#112
31.7#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 11 for Muse Spark 1.3

2 shared

LFM3-1.7B outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 2 benchmarks (AutomationBench, Terminal-Bench 2.1).

Muse Spark 1.3 significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas LFM3-1.7B does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Muse Spark 1.3 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

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Muse Spark 1.3 was released on 2026-09-02.

LFM3-1.7B is 2 months newer than Muse Spark 1.3.

LFM3-1.7B

Oct 27, 2026

5 days ago

1mo newer
Muse Spark 1.3

Sep 2, 2026

2 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 Muse Spark 1.3 side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Muse Spark 1.3.

Which is better, LFM3-1.7B or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 52.0 to 25.0. LFM3-1.7B is made by Liquid AI and Muse Spark 1.3 is made by Meta. 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 Muse Spark 1.3 in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for LFM3-1.7B and Muse Spark 1.3?

LFM3-1.7B supports an unknown number of tokens and Muse Spark 1.3 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 Muse Spark 1.3?

Key differences include LLM Stats Score (25.0 vs 52.0), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Muse Spark 1.3?

LFM3-1.7B is developed by Liquid AI and Muse Spark 1.3 is developed by Meta.

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