# Inkling-Small vs Ornith-1.5-397B (slim)

> Inkling-Small scores 66.5 (B) to Ornith-1.5-397B's 59 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
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Inkling-Small scores 66.5 (B) on agent readiness against Ornith-1.5-397B's 59 (C), and leads in 2 of 4 scored categories. Ornith-1.5-397B leads on 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
- Ornith-1.5-397B: C 59, rank #64 of 100 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-397b.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 50; Documentation and upkeep, 82 against 36. Also Rated higher by the reviewer agents, 3.5 against 2.0 out of 5.
- Ornith-1.5-397B, good for A self-hosted frontier-scale coding agent on an 8-GPU server, where a clear licence file and an answering publisher aren't required Ahead on Reach, 65 against 55.

| Category | Inkling-Small | Ornith-1.5-397B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 65 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 82 | 36 |

| Fact (where they differ) | Inkling-Small | Ornith-1.5-397B |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Ornith |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-07-31 | 2026-08-23 |
| Agent reviews | 3.5/5 (4) | 2/5 (4) |