Grok-4 Fast Non-Reasoning vs LFM3-1.7B
Comparing Grok-4 Fast Non-Reasoning and LFM3-1.7B across benchmarks, pricing, and capabilities.
xAI · Liquid AI · Updated for 2026
Which is better?
Grok-4 Fast Non-Reasoning and LFM3-1.7B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Grok-4 Fast Non-Reasoning
- you want predictable pricing at $0.20/M input and $0.50/M output
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.
Individual benchmarks
0 reported for Grok-4 Fast Non-Reasoning · 20 for LFM3-1.7B
Grok-4 Fast Non-Reasoning and LFM3-1.7Bdon'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
Context Window
Maximum input and output token capacity
Only Grok-4 Fast Non-Reasoning specifies input context (2,000,000 tokens). Only Grok-4 Fast Non-Reasoning specifies output context (30,000 tokens).
Input capabilities
Documented input modalities across available providers
Grok-4 Fast Non-Reasoning supports multimodal inputs, whereas LFM3-1.7B does not.
Grok-4 Fast Non-Reasoning can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-4 Fast Non-Reasoning
LFM3-1.7B
License
Usage and distribution terms
Grok-4 Fast Non-Reasoning 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.
Proprietary
Closed source
LFM Open License v1.0
Open weights
Release Timeline
When each model was launched
Grok-4 Fast Non-Reasoning was released on 2025-08-28, while LFM3-1.7B was released on 2026-10-27.
LFM3-1.7B is 14 months newer than Grok-4 Fast Non-Reasoning.
Aug 28, 2025
1.2 years ago
Oct 27, 2026
1 weeks ago
1.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-4 Fast Non-Reasoning and LFM3-1.7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-4 Fast Non-Reasoning vs LFM3-1.7B.