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LFM3-1.7B vs Ministral 8B Instruct

LFM3-1.7B leads the LLM Stats Score 25.0 to -5.1.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to -5.1, ranking #192 overall.

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 #192 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Ministral 8B Instruct

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

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Ministral 8B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
25.0
#192
-5.1
#391
Reasoning
20.8
#216
-5.2
#383
Coding
7.4
#218
-14.5
#303
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Ministral 8B Instruct
Math
7.6#285
-4.2#340
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 11 for Ministral 8B Instruct

No common benchmarks found

LFM3-1.7B and Ministral 8B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

6.3B diff

Ministral 8B Instruct has 6.3B more parameters than LFM3-1.7B, making it 363.6% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
1.7B
LFM3-1.7B
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

Only Ministral 8B Instruct specifies input context (128,000 tokens). Only Ministral 8B Instruct specifies output context (128,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Nov 02 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Ministral 8B Instruct uses Mistral Research 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

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Ministral 8B Instruct was released on 2024-10-16.

LFM3-1.7B is 25 months newer than Ministral 8B Instruct.

LFM3-1.7B

Oct 27, 2026

4 days ago

2.0yr newer
Ministral 8B Instruct

Oct 16, 2024

2.0 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 Ministral 8B Instruct side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Ministral 8B Instruct
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Ministral 8B Instruct.

Which is better, LFM3-1.7B or Ministral 8B Instruct?

LFM3-1.7B leads the LLM Stats Score 25.0 to -5.1. LFM3-1.7B is made by Liquid AI and Ministral 8B Instruct 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 Ministral 8B Instruct in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

What are the context window sizes for LFM3-1.7B and Ministral 8B Instruct?

LFM3-1.7B supports an unknown number of tokens and Ministral 8B Instruct 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 Ministral 8B Instruct?

Key differences include LLM Stats Score (25.0 vs -5.1), licensing (LFM Open License v1.0 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Ministral 8B Instruct?

LFM3-1.7B is developed by Liquid AI and Ministral 8B Instruct is developed by Mistral AI.

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