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LFM3-1.7B vs Mistral Small 3.1 24B Base

LFM3-1.7B leads the LLM Stats Score 25.0 to -0.2.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to -0.2, ranking #191 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

  • overall performance matters — it scores 25.0 and ranks #191 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • 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 Mistral Small 3.1 24B Base

  • you want predictable pricing at $0.10/M input and $0.30/M output

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Mistral Small 3.1 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
25.0
#191
-0.2
#366
Reasoning
20.8
#216
0.0
#357
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Mistral Small 3.1 24B Base
Math
7.6#285
4.6#301
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 5 for Mistral Small 3.1 24B Base

1 shared

LFM3-1.7B outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base 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

22.3B diff

Mistral Small 3.1 24B Base has 22.3B more parameters than LFM3-1.7B, making it 1287.3% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
1.7B
LFM3-1.7B
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.1 24B Base supports multimodal inputs, whereas LFM3-1.7B does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Mistral Small 3.1 24B Base uses Apache 2.0.

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

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Mistral Small 3.1 24B Base was released on 2025-03-17.

LFM3-1.7B is 20 months newer than Mistral Small 3.1 24B Base.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.6yr newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.6 years 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 Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Mistral Small 3.1 24B Base.

Which is better, LFM3-1.7B or Mistral Small 3.1 24B Base?

LFM3-1.7B leads the LLM Stats Score 25.0 to -0.2. LFM3-1.7B is made by Liquid AI and Mistral Small 3.1 24B Base is made by Mistral AI. 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 Mistral Small 3.1 24B Base in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

What are the context window sizes for LFM3-1.7B and Mistral Small 3.1 24B Base?

LFM3-1.7B supports an unknown number of tokens and Mistral Small 3.1 24B Base supports 128K 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 Mistral Small 3.1 24B Base?

Key differences include LLM Stats Score (25.0 vs -0.2), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Mistral Small 3.1 24B Base?

LFM3-1.7B is developed by Liquid AI and Mistral Small 3.1 24B Base is developed by Mistral AI.

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