LLM Comparison
MiniMind vs Olmo 3 32B Think
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | ||
| Family | MiniMind | Olmo |
| Status | Current | Current |
| Release Date | Sep 2026 | Nov 2025 |
| Context Window | 1K tokens | 66K tokens |
| Input Price | Free | $0.15/M tokens |
| Output Price | Free | $0.50/M tokens |
| Pricing Notes | Open-source project; API pricing is not applicable unless a downstream host adds serving costs. | — |
| Capabilities | texteducationtraining | textcode |
| Training Cutoff | Not specified | — |
| Max Output | 1K tokens | 66K tokens |
| API Identifier | jingyaogong/minimind | allenai/olmo-3-32b-think |
| View MiniMind | View Olmo 3 32B Think |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMindCheapest | $0.00 | $0.00 | $0.00 | — |
| Olmo 3 32B Think | $0.15 | $0.25 | $0.40 | +0% |
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.
AllenAI
Olmo 3 32B Think
Olmo 3 32B Think is a large language model from AllenAI. Supports up to 65,536 token context window. Available from $0.15/M input tokens.
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