LLM Comparison
Command R (08-2024) vs MiniCPM
Side-by-side specs, pricing & capabilities · Updated May 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 3 9.1 | |
| Family | Command | MiniCPM |
| Status | Current | Current |
| Release Date | Aug 2024 | — |
| Context Window | 128K tokens | 128K tokens |
| Input Price | $0.15/M tokens | Free |
| Output Price | $0.60/M tokens | Free |
| Pricing Notes | — | 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 | textcode | textcodereasoninglocal-inference |
| Training Cutoff | — | Not publicly specified in queued source |
| Max Output | 4K tokens | 33K tokens |
| API Identifier | cohere/command-r-08-2024 | OpenBMB/MiniCPM |
| Benchmarks | ||
| MMLU | 68.4openrouter | — |
| 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 Command R (08-2024) | View MiniCPM | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniCPMCheapest | $0.00 | $0.00 | $0.00 | — |
| Command R (08-2024) | $0.15 | $0.30 | $0.45 | +0% |
Cohere
Command R (08-2024)
Command R (08-2024) is a large language model from Cohere. Supports up to 128,000 token context window. Achieves 68.4% on MMLU. Available from $0.15/M input tokens.
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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