Jingyao Gong logo

MiniMind

MiniMindv64MCurrent
byJingyao GongJingyao Gong(open source)
Released September 2, 2026
Context1.0K tokens
Price (In / Out)Free / Free
Training CutoffNot specified
CategoryLarge Language Model
Max Output1.0K tokens

About 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.

Capabilities

texteducationtraining

Input Modalities

text

Output Modalities

text

Technical Details

API Identifier
jingyaogong/minimind
Category
Large Language Model
Context Window
1,024 tokens
Max Output Tokens
1,024 tokens

Tags

small-llmtrainingopen-sourceeducationpytorch

Pricing

Token pricing for MiniMind API usage.

Input Tokens

Free

per million tokens

Output Tokens

Free

per million tokens

Pricing Calculator

Input cost$0.00
Output cost$0.00
Estimated monthly cost$0.00

Open-source project; API pricing is not applicable unless a downstream host adds serving costs.

Competing Models

Same pricing tier — direct alternatives to MiniMind

Efficiency
$0.07/M / $0.14/MCompare
$0.15/M / $0.60/MCompare
67
198
$0.26/M / $0.42/MCompare
26
97.4
$0.09/M / $0.45/MCompare
$0.10/M / $0.20/MCompare
56
164
$0.27/M / $0.41/MCompare
6
16.8
$0.15/M / $0.60/MCompare
79
488
$0.07/M / $0.25/MCompare
Jingyao Gong logo
Jingyao Gongopen source

Open-source AI project maintainer

Founded 2026Not publicly specified
View full profile