# Inkling 2 Small vs Ripple-65B Preview (slim)

> Inkling 2 Small scores 58.8 (C) to Ripple-65B Preview's 53.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/inkling-2-small-vs-ripple-65b-preview.md (~9,850 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/inkling-2-small-vs-ripple-65b-preview.json · canonical https://www.anchorterminal.com/compare/inkling-2-small-vs-ripple-65b-preview
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Inkling 2 Small scores 58.8 (C) on agent readiness against Ripple-65B Preview's 53.3 (D), and leads in 3 of 4 scored categories. Ripple-65B Preview leads on reach. 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
- Ripple-65B Preview: D 53.3, rank #136 of 161 open-weight models · https://www.anchorterminal.com/tools/ripple-65b-preview.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 55; Agent interface, 85 against 75; Documentation and upkeep, 67 against 49.
- Ripple-65B Preview, good for Teams with Blackwell GPUs or a DGX Spark who want an Apache 2.0 coding model to try for terminal and agentic coding work, and can run the publisher's code to serve it. Ahead on Reach, 45 against 40.

| Category | Inkling 2 Small | Ripple-65B Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 45 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 67 | 49 |

| Fact (where they differ) | Inkling 2 Small | Ripple-65B Preview |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Ricursive Intelligence |
| Last release | 2026-11-12 | 2026-11-04 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Documentation and upkeep, Inkling 2 Small +18: Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.); Ripple-65B Preview 49 (Model card 14 of 20, no limitations and no knowledge cut-off.)
- Risk, Inkling 2 Small +10: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); Ripple-65B Preview 55 (File safety 15, safetensors only, less 10 because the documented way to run it loads Ricursive's Python.)
- Agent interface, Inkling 2 Small +10: Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.); Ripple-65B Preview 75 (Chat template 20, chat_template.jinja in the repository.)
- Reach, Ripple-65B Preview +5: 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.); Ripple-65B Preview 45 (Memory 10 of 30, the smallest 4-bit build is Ricursive's NVFP4 at 57.2 GB, 68.7 GB with a fifth added, which is over 64 GB and fits our reference machine.)