LLM Comparison
FinGPT vs MiniCPM
Side-by-side specs, pricing & capabilities · Updated May 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | ||
| Family | FinGPT | MiniCPM |
| Status | Current | Current |
| Release Date | Feb 2023 | — |
| Context Window | 4K tokens | 128K tokens |
| Input Price | Free | Free |
| Output Price | Free | Free |
| Pricing Notes | Open-source model family; runtime, hosting, and inference infrastructure costs depend on deployment. | 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 | textfinance-nlpsentiment-analysiscoderesearch | textcodereasoninglocal-inference |
| Training Cutoff | Varies by released checkpoint | Not publicly specified in queued source |
| Max Output | 2K tokens | 33K tokens |
| API Identifier | AI4Finance-Foundation/FinGPT | OpenBMB/MiniCPM |
| Benchmarks | ||
| 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 FinGPT | View MiniCPM | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| FinGPTCheapest | $0.00 | $0.00 | $0.00 | — |
| MiniCPMCheapest | $0.00 | $0.00 | $0.00 | — |
AI4Finance Foundation
FinGPT
FinGPT is an open-source financial large language model project from AI4Finance Foundation. It focuses on finance-specific NLP, sentiment analysis, robo-advisor workflows, technical analysis, and model release workflows through GitHub and Hugging Face.
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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