# Inkling 2 Small vs Swift 1.5 Qwen3.8-27B (slim)

> Swift 1.5 Qwen3.8-27B scores 61 (C) to Inkling 2 Small's 58.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Swift 1.5 Qwen3.8-27B scores 61 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 1 of 4 scored categories. Inkling 2 Small leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- Swift 1.5 Qwen3.8-27B: C 61, rank #57 of 161 open-weight models · https://www.anchorterminal.com/tools/swift-1-5-qwen3-8-27b.min.md
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Risk, 65 against 50; Agent interface, 85 against 60; Documentation and upkeep, 67 against 43.
- Swift 1.5 Qwen3.8-27B, good for Agents on a 24 to 32 GB GPU or Mac that want Qwen3.8-27B's skills with shorter thinking, for teams under US$1M revenue or research. Ahead on Reach, 80 against 40.

| Category | Inkling 2 Small | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 80 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 67 | 43 |

| Fact (where they differ) | Inkling 2 Small | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | UkisAI |
| Licence | Apache-2.0 | Swift Open License v1.0 (custom, not an OSI licence) on UkisAI's changes, free for commercial use below US$1M gross annual revenue with a separate Swift Enterprise License above it. Built on Qwen3.8-27B, whose Apache 2.0 still governs the base |
| Last release | 2026-11-12 | 2026-09-24 |
| Terms last updated | no document linked | no date given |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Reach, Swift 1.5 Qwen3.8-27B +40: Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.); Swift 1.5 Qwen3.8-27B 80 (Memory 25 of 30, UkisAI's 4-bit MLX build is 15.9 GB and its 4-bit GGUF with the vision projector 16.4 GB, both under 20 GB with a fifth added, which fits 24 GB…)
- Agent interface, Inkling 2 Small +25: Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.); Swift 1.5 Qwen3.8-27B 60 (Chat template 20, the base's Jinja file.)
- Documentation and upkeep, Inkling 2 Small +24: Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.); Swift 1.5 Qwen3.8-27B 43 (Model card 8 of 20, intended use, parameters and context only.)
- Risk, Inkling 2 Small +15: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); Swift 1.5 Qwen3.8-27B 50 (File safety 25, safetensors only and nothing from the repository runs.)