LLM Comparison
Maple-Preview vs Trinity Large Preview
Side-by-side specs, pricing & capabilities · Updated October 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 45 | 35 |
| Family | Maple | Trinity |
| Status | Current | Current |
| Release Date | Aug 2026 | Jan 2026 |
| Context Window | 131K tokens | 131K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. | Free tier available on OpenRouter with rate limits |
| Capabilities | textreasoningcodeon-device-inference | textcode |
| API Identifier | deepgrove/maple-preview | arcee-ai/trinity-large-preview:free |
| 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 | 63.3https://huggingface.co/arcee-ai/Trinity-Large-Preview |
| MMLU | — | 87.2https://huggingface.co/arcee-ai/Trinity-Large-Preview |
| MMLU-Pro | — | 75.2https://huggingface.co/arcee-ai/Trinity-Large-Preview |
| View Maple-Preview | View Trinity Large Preview | |
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.
Arcee AI
Trinity Large Preview
Trinity Large Preview is a large language model from Arcee AI. Supports up to 131,000 token context window. Available free with rate limits on OpenRouter.
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