LLM Comparison
Command R7B (12-2024) vs Maple-Preview
Side-by-side specs, pricing & capabilities · Updated August 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 50 | |
| Family | Command | Maple |
| Status | Current | Current |
| Release Date | Dec 2024 | Aug 2026 |
| Context Window | 128K tokens | 131K tokens |
| Input Price | $0.04/M tokens | Free |
| Output Price | $0.15/M tokens | Free |
| 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 | textcode | textreasoningcodeon-device-inference |
| Max Output | 4K tokens | 131K tokens |
| API Identifier | cohere/command-r7b-12-2024 | 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 Command R7B (12-2024) | View Maple-Preview | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Maple-PreviewCheapest | $0.00 | $0.00 | $0.00 | — |
| Command R7B (12-2024) | $0.04 | $0.08 | $0.11 | +0% |
Cohere
Command R7B (12-2024)
Command R7B (12-2024) is a large language model from Cohere. Supports up to 128,000 token context window. Available from $0.04/M input tokens.
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.
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