LLM Comparison
Maple-Preview vs Trinity Mini
Side-by-side specs, pricing & capabilities · Updated August 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 50 | |
| Family | Maple | Trinity |
| Status | Current | Current |
| Release Date | Aug 2026 | Dec 2025 |
| Context Window | 131K tokens | 131K tokens |
| Input Price | Free | $0.04/M tokens |
| Output Price | Free | $0.15/M tokens |
| Pricing Notes | Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. | — |
| Capabilities | textreasoningcodeon-device-inference | textcode |
| Max Output | 131K tokens | 131K tokens |
| API Identifier | deepgrove/maple-preview | arcee-ai/trinity-mini |
| 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 Maple-Preview | View Trinity Mini | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Maple-PreviewCheapest | $0.00 | $0.00 | $0.00 | — |
| Trinity Mini | $0.05 | $0.08 | $0.12 | +0% |
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.
Arcee AI
Trinity Mini
Trinity Mini is a large language model from Arcee AI. Supports up to 131,072 token context window. Available from $0.04/M input tokens.
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