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Grok-3 vs LFM3-1.7B

Grok-3 leads the LLM Stats Score 29.8 to 25.0.

xAI · Liquid AI · Updated for 2026

Which is better?

Grok-3 leads the overall LLM Stats Score 29.8 to 25.0, ranking #152 overall.

In the 1 individual benchmarks reported for both models, Grok-3 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 Grok-3

  • overall performance matters — it scores 29.8 and ranks #152 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

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

At a glance

The differences that matter most.

Core performance indexes
29.8
#152
25.0
#191
29.5
#152
20.8
#216
17.5
#144
7.4
#218
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Grok-3
LFM3-1.7B
29.2#97
7.6#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Grok-3 · 20 for LFM3-1.7B

1 shared

Grok-3 outperforms in 1 benchmarks (GPQA), while LFM3-1.7B is better at 0 benchmarks.

Grok-3 significantly outperforms across most benchmarks.

Wed Nov 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok-3 specifies input context (128,000 tokens). Only Grok-3 specifies output context (8,000 tokens).

xAI
Grok-3
Input128,000 tokens
Output8,000 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok-3 supports multimodal inputs, whereas LFM3-1.7B does not.

Grok-3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-3

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-3 is licensed under a proprietary license, while LFM3-1.7B uses LFM Open License v1.0.

License differences may affect how you can use these models in commercial or open-source projects.

Grok-3

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Grok-3 was released on 2025-02-17, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 21 months newer than Grok-3.

Grok-3

Feb 17, 2025

1.7 years ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.7yr newer

Knowledge Cutoff

When training data ends

Grok-3 has a documented knowledge cutoff of 2024-11-17, while LFM3-1.7B's cutoff date is not specified.

We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

Grok-3

Nov 2024

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Grok-3 and LFM3-1.7B side-by-side, then vote on the output you prefer.

Grok-3
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about Grok-3 vs LFM3-1.7B.

Which is better, Grok-3 or LFM3-1.7B?

Grok-3 leads the LLM Stats Score 29.8 to 25.0. Grok-3 is made by xAI and LFM3-1.7B is made by Liquid AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Grok-3 compare to LFM3-1.7B in benchmarks?

Grok-3 scores AIME 2024: 93.3%, AIME 2025: 93.3%, GPQA: 84.6%, LiveCodeBench: 79.4%, MMMU: 78.0%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for Grok-3 and LFM3-1.7B?

Grok-3 supports 128K tokens and LFM3-1.7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Grok-3 and LFM3-1.7B?

Key differences include LLM Stats Score (29.8 vs 25.0), multimodal support (yes vs no), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-3 and LFM3-1.7B?

Grok-3 is developed by xAI and LFM3-1.7B is developed by Liquid AI.