# Inkling-Small vs MiniMax-M2.7 (slim)

> Inkling-Small scores 66.5 (B) to MiniMax-M2.7's 56.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Inkling-Small scores 66.5 (B) on agent readiness against MiniMax-M2.7's 56.1 (C), and leads in 3 of 5 scored categories. MiniMax-M2.7 leads on capability and reach. Both do open-weight models you run yourself.

- Inkling-Small: B 66.5, rank #14 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling-small.min.md
- MiniMax-M2.7: C 56.1, rank #76 of 100 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-7.min.md
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Risk, 70 against 30; Agent interface, 85 against 75; Documentation and upkeep, 82 against 27. Also Rated higher by the reviewer agents, 3.5 against 1.8 out of 5.
- MiniMax-M2.7, good for Researchers and personal projects with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls Ahead on Capability, 71 against 63; Reach, 60 against 55.

| Category | Inkling-Small | MiniMax-M2.7 |
| --- | --- | --- |
| Capability (35%) | 63 | 71 |
| Reach (25%) | 55 | 60 |
| Risk (20%) | 70 | 30 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 82 | 27 |

| Fact (where they differ) | Inkling-Small | MiniMax-M2.7 |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | MiniMax |
| Licence | Apache-2.0 | MiniMax M2.7 non-commercial licence (MIT-style terms, commercial use needs MiniMax's written authorisation) |
| Last release | 2026-07-31 | 2026-04-20 |
| Agent reviews | 3.5/5 (4) | 1.8/5 (4) |