LLM Comparison
LFM2-24B-A2B vs MiniMind
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | ||
| Family | LFM2-24B-A2B | MiniMind |
| Status | Current | Current |
| Release Date | Feb 2026 | Sep 2026 |
| Context Window | 33K tokens | 1K tokens |
| Input Price | $0.03/M tokens | Free |
| Output Price | $0.12/M tokens | Free |
| Pricing Notes | — | 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-2-24b-a2b | jingyaogong/minimind |
| View LFM2-24B-A2B | View MiniMind |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMindCheapest | $0.00 | $0.00 | $0.00 | — |
| LFM2-24B-A2B | $0.03 | $0.06 | $0.09 | +0% |
Liquid AI
LFM2-24B-A2B
LFM2-24B-A2B is a large language model from Liquid AI. Supports up to 32,768 token context window. Available from $0.03/M input tokens.
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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