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LFM3-1.7B vs Mistral Small 4

LFM3-1.7B leads the LLM Stats Score 25.0 to 18.2.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 18.2, ranking #191 overall.

In the 3 individual benchmarks reported for both models, Mistral Small 4 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

  • overall performance matters — it scores 25.0 and ranks #191 on LLM Stats
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Small 4

  • 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
Mistral Small 4
Mistral AI
Core performance indexes
LLM Stats Score
25.0
#191
18.2
#247
Reasoning
20.8
#216
19.1
#234
Coding
7.4
#218
10.7
#193
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Mistral Small 4
Math
7.6#285
19.1#186
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 9 for Mistral Small 4

3 shared

LFM3-1.7B outperforms in 1 benchmarks (IFBench), while Mistral Small 4 is better at 2 benchmarks (AA-LCR, GPQA).

Mistral Small 4 shows notably better performance in the majority of benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

117.3B diff

Mistral Small 4 has 117.3B more parameters than LFM3-1.7B, making it 6778.6% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Mistral AI
Mistral Small 4
119.0Bparameters
1.7B
LFM3-1.7B
119.0B
Mistral Small 4

Context Window

Maximum input and output token capacity

Only Mistral Small 4 specifies input context (256,000 tokens). Only Mistral Small 4 specifies output context (256,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mistral AI
Mistral Small 4
Input256,000 tokens
Output256,000 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 4 supports multimodal inputs, whereas LFM3-1.7B does not.

Mistral Small 4 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 4

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Mistral Small 4 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 4

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Mistral Small 4 was released on 2026-03-16.

LFM3-1.7B is 8 months newer than Mistral Small 4.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

7mo newer
Mistral Small 4

Mar 16, 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 Mistral Small 4 side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Mistral Small 4
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Mistral Small 4.

Which is better, LFM3-1.7B or Mistral Small 4?

LFM3-1.7B leads the LLM Stats Score 25.0 to 18.2. LFM3-1.7B is made by Liquid AI and Mistral Small 4 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 4 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 4 scores AIME 2025: 83.8%, MMLU-Pro: 78.0%, AA-LCR: 71.2%, GPQA: 71.2%, LiveCodeBench: 63.6%.

What are the context window sizes for LFM3-1.7B and Mistral Small 4?

LFM3-1.7B supports an unknown number of tokens and Mistral Small 4 supports 256K 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 4?

Key differences include LLM Stats Score (25.0 vs 18.2), 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 4?

LFM3-1.7B is developed by Liquid AI and Mistral Small 4 is developed by Mistral AI.

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