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LFM3-1.7B vs Pixtral Large

LFM3-1.7B leads the LLM Stats Score 25.0 to 11.2.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 11.2, 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
  • you want the most recent training data — it shipped Oct 2026

Choose Pixtral Large

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Pixtral Large
Mistral AI
Core performance indexes
LLM Stats Score
25.0
#192
11.2
#296
Reasoning
20.8
#216
12.5
#279
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Individual benchmarks

20 reported for LFM3-1.7B · 7 for Pixtral Large

No common benchmarks found

LFM3-1.7B and Pixtral Largedon'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

122.3B diff

Pixtral Large has 122.3B more parameters than LFM3-1.7B, making it 7067.6% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
1.7B
LFM3-1.7B
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral Large supports multimodal inputs, whereas LFM3-1.7B does not.

Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Pixtral Large was released on 2024-11-18.

LFM3-1.7B is 24 months newer than Pixtral Large.

LFM3-1.7B

Oct 27, 2026

5 days ago

1.9yr newer
Pixtral Large

Nov 18, 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 Pixtral Large side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Pixtral Large.

Which is better, LFM3-1.7B or Pixtral Large?

LFM3-1.7B leads the LLM Stats Score 25.0 to 11.2. LFM3-1.7B is made by Liquid AI and Pixtral Large 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 Pixtral Large in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for LFM3-1.7B and Pixtral Large?

LFM3-1.7B supports an unknown number of tokens and Pixtral Large 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 Pixtral Large?

Key differences include LLM Stats Score (25.0 vs 11.2), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Pixtral Large?

LFM3-1.7B is developed by Liquid AI and Pixtral Large is developed by Mistral AI.

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