LLM Comparison
LFM2.5-1.2B-Instruct vs MiniMind
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | ||
| Family | LFM2.5-1.2B-Instruct | MiniMind |
| Status | Current | Current |
| Release Date | Jan 2026 | Sep 2026 |
| Context Window | 33K tokens | 1K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Free tier available on OpenRouter with rate limits | Open-source project; API pricing is not applicable unless a downstream host adds serving costs. |
| Capabilities | textcode | texteducationtraining |
| Training Cutoff | — | Not specified |
| Max Output | — | 1K tokens |
| API Identifier | liquid/lfm-2.5-1.2b-instruct:free | jingyaogong/minimind |
| Benchmarks | ||
| GPQA Diamond | 32.6263artificial-analysis | — |
| View LFM2.5-1.2B-Instruct | View MiniMind | |
Liquid AI
LFM2.5-1.2B-Instruct
LFM2.5-1.2B-Instruct is a large language model from Liquid AI. Supports up to 32,768 token context window. Available free with rate limits on OpenRouter.
Jingyao Gong
MiniMind
MiniMind is a small open-source language-model training project that demonstrates how to train a 64M-parameter LLM from scratch. The repository is aimed at builders who want a compact, inspectable model-training path rather than a hosted frontier API.
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