LLM Comparison
MiMo-V2-Flash vs MiniMind
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | ||
| Family | MiMo | MiniMind |
| Status | Current | Current |
| Release Date | Dec 2025 | Sep 2026 |
| Context Window | 262K tokens | 1K tokens |
| Input Price | $0.09/M tokens | Free |
| Output Price | $0.29/M tokens | Free |
| Pricing Notes | Cache read: $0.0450/M tokens | Open-source project; API pricing is not applicable unless a downstream host adds serving costs. |
| Capabilities | textcode | texteducationtraining |
| Training Cutoff | — | Not specified |
| Max Output | 66K tokens | 1K tokens |
| API Identifier | xiaomi/mimo-v2-flash | jingyaogong/minimind |
| View MiMo-V2-Flash | View MiniMind |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMindCheapest | $0.00 | $0.00 | $0.00 | — |
| MiMo-V2-Flash | $0.09 | $0.15 | $0.24 | +0% |
Xiaomi
MiMo-V2-Flash
MiMo-V2-Flash is a large language model from Xiaomi. Supports up to 262,144 token context window. Available from $0.09/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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