LLM Comparison
FinGPT vs Maple-Preview
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 models| Organization | ||
| OpenTools Score | 45 | |
| Family | FinGPT | Maple |
| Status | Current | Current |
| Release Date | Feb 2023 | Aug 2026 |
| Context Window | 4K tokens | 131K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Open-source model family; runtime, hosting, and inference infrastructure costs depend on deployment. | Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. |
| Capabilities | textfinance-nlpsentiment-analysiscoderesearch | textreasoningcodeon-device-inference |
| Training Cutoff | Varies by released checkpoint | — |
| Max Output | 2K tokens | — |
| API Identifier | AI4Finance-Foundation/FinGPT | deepgrove/maple-preview |
| 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 |
| View FinGPT | View Maple-Preview | |
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.
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. The model card specifies 131,072 tokens of context but does not establish a separate maximum output-token limit.
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