# Inkling 2 Small vs Kolibri-1 (slim)

> Kolibri-1 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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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-12
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Kolibri-1 scores 61 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 3 of 4 scored categories. 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
- Kolibri-1: C 61, rank #44 of 161 open-weight models · https://www.anchorterminal.com/tools/kolibri-1.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.
- Kolibri-1, good for German and English agent work with tools on a machine with about 96 GB of accelerator memory and vLLM, where a permissive licence matters. Ahead on Reach, 65 against 40; Agent interface, 90 against 85.

| Category | Inkling 2 Small | Kolibri-1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 65 |
| Risk (20%) | 65 | 65 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 67 | 70 |

| Fact (where they differ) | Inkling 2 Small | Kolibri-1 |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Aleph Alpha |
| Last release | 2026-11-12 | 2026-10-19 |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Reach, Kolibri-1 +25: 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.); Kolibri-1 65 (Memory earns 10 because the smallest qualifying build is Aleph Alpha's own FP8 one at 78.8 GB, which comes to 94.6 GB with the fifth added and so fits only the…)
- Agent interface, Kolibri-1 +5: Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.); Kolibri-1 90 (The chat template earns 20 as Jinja in tokenizer_config.json.)