LLM Comparison
Maple-Preview vs MiniMax M2.5
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 45 | 47 |
| Family | Maple | MiniMax |
| Status | Current | Current |
| Release Date | Aug 2026 | Feb 2026 |
| Context Window | 131K tokens | 197K 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 |
| Max Output | 131K tokens | 8K tokens |
| API Identifier | deepgrove/maple-preview | minimax/minimax-m2.5: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 | 84.8485artificial-analysis |
| View Maple-Preview | View MiniMax M2.5 | |
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.
MiniMax
MiniMax M2.5
MiniMax M2.5 is a large language model from MiniMax. Supports up to 196,608 token context window. Available free with rate limits on OpenRouter.
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