LLM Comparison

MiniMind vs Nemotron 3 Super

Side-by-side specs, pricing & capabilities · Updated October 2026

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2/6 models
Same tier:
 Jingyao GongMiniMindNVIDIANemotron 3 Super
OrganizationJingyao GongJingyao GongNVIDIANVIDIA
OpenTools Score
21
FamilyMiniMindNemotron
StatusCurrentCurrent
Release DateSep 2026Mar 2026
Context Window1K tokens262K tokens
Input Price——
Output Price——
Pricing NotesOpen-source project; API pricing is not applicable unless a downstream host adds serving costs.Free tier available on OpenRouter with rate limits
Capabilities
texteducationtraining
textcode
Training CutoffNot specified—
Max Output1K tokens—
API Identifierjingyaogong/minimindnvidia/nemotron-3-super-120b-a12b:free
 View MiniMindView Nemotron 3 Super

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.

NVIDIA

Nemotron 3 Super

Nemotron 3 Super is NVIDIA's 120B-parameter model with 12B active parameters. Its default Hugging Face configuration uses 256K context; NVIDIA documents up to 1M model context with additional VRAM. Hosted endpoint limits may differ.

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