LLM Comparison
Maple-Preview vs MiniCPM
Side-by-side specs, pricing & capabilities · Updated August 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 50 | |
| Family | Maple | MiniCPM |
| Status | Current | Current |
| Release Date | Aug 2026 | — |
| Context Window | 131K tokens | 128K tokens |
| Input Price | Free | Free |
| Output Price | Free | Free |
| Pricing Notes | Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. | Open-weight GitHub and Hugging Face model family. There is no fixed vendor API price; runtime cost depends on the host, hardware, or inference provider. |
| Capabilities | textreasoningcodeon-device-inference | textcodereasoninglocal-inference |
| Training Cutoff | — | Not publicly specified in queued source |
| Max Output | 131K tokens | 33K tokens |
| API Identifier | deepgrove/maple-preview | OpenBMB/MiniCPM |
| Benchmarks | ||
| LiveCodeBench v6 | 75.1DeepGrove model card | — |
| AIME 2026 | 87.5DeepGrove model card | — |
| HMMT 2026 | 78.8DeepGrove model card | — |
| GPQA Diamond | 73.5DeepGrove model card | — |
| MiniCPM-SALA standard benchmark average | — | 76.53official-github-readme |
| MiniCPM-SALA long-context average | — | 38.97official-github-readme |
| MiniCPM-SALA 2048K extrapolation score | — | 81.6official-github-readme |
| MiniCPM4.1 reasoning decoding speedup | — | 3official-github-readme |
| MiniCPM4 Jetson AGX Orin decoding speedup vs Qwen3-8B | — | 7official-github-readme |
| View Maple-Preview | View MiniCPM | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Maple-PreviewCheapest | $0.00 | $0.00 | $0.00 | — |
| MiniCPMCheapest | $0.00 | $0.00 | $0.00 | — |
DeepGrove
Maple-Preview
Maple-Preview is DeepGrove’s open-source 20B-A1B ternary-weight reasoning LLM for efficient on-device inference. The model card reports 20.2B total parameters, 1.49B active parameters, a 131,072-token context window, and 5.31 GB checkpoint size.
OpenBMB
MiniCPM
MiniCPM is OpenBMB’s ultra-efficient open language-model family for edge and end-device deployment. The MiniCPM4 and MiniCPM4.1 lines focus on fast local reasoning, while MiniCPM-SALA extends the family toward sparse/linear attention and million-token context research.
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