LLM Comparison
Apodex 1.1 vs MiniMind
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 24 | |
| Family | Apodex | MiniMind |
| Status | Current | Current |
| Release Date | Aug 2026 | Sep 2026 |
| Context Window | 262K tokens | 1K tokens |
| Input Price | Free | Free |
| Output Price | Free | Free |
| Pricing Notes | The official API campaign currently sets input, cached input, and output to $0.00 per 1M tokens. Published list prices are $0.30 input, $0.03 cached input, and $3.00 output per 1M tokens; requests above 200K input tokens are charged at twice the listed rates when paid pricing resumes. Apodex has not published the campaign end date, so pricing requires daily revalidation. | Open-source project; API pricing is not applicable unless a downstream host adds serving costs. |
| Capabilities | textreasoningcodelong-contextstreaming | texteducationtraining |
| Training Cutoff | — | Not specified |
| Max Output | 262K tokens | 1K tokens |
| API Identifier | apodex-1.1 | jingyaogong/minimind |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 44artificial-analysis | — |
| View Apodex 1.1 | View MiniMind | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Apodex 1.1Cheapest | $0.00 | $0.00 | $0.00 | — |
| MiniMindCheapest | $0.00 | $0.00 | $0.00 | — |
Apodex
Apodex 1.1
Apodex 1.1 is a proprietary long-context reasoning model for complex professional work, research, coding, and evidence-heavy analysis through a first-party API.
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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