# Inkling 2 Small vs Olmo 3 7B Think (slim)

> Inkling 2 Small scores 58.8 (C) to Olmo 3 7B Think's 52.3 (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-olmo-3-7b-think.md (~9,900 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/inkling-2-small-vs-olmo-3-7b-think.json · canonical https://www.anchorterminal.com/compare/inkling-2-small-vs-olmo-3-7b-think
- 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 Olmo 3 7B Think's 52.3 (D), and leads in 2 of 4 scored categories. Olmo 3 7B Think leads on reach and risk. 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
- Olmo 3 7B Think: D 52.3, rank #140 of 161 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.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 Agent interface, 85 against 35; Documentation and upkeep, 67 against 52.
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Reach, 75 against 40; Risk, 75 against 65.

| Category | Inkling 2 Small | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 75 |
| Risk (20%) | 65 | 75 |
| Agent interface (10%) | 85 | 35 |
| Documentation and upkeep (10%) | 67 | 52 |

| Fact (where they differ) | Inkling 2 Small | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Ai2 (Allen Institute for AI) |
| Licence | Apache-2.0 | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-11-12 | 2026-06-25 |
| Terms last updated | no document linked | 2024-09-25 |
| Privacy policy last updated | no document linked | 2025-02-19 |
| Customer content may train models | not read yet | yes |
| 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 | yes |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Agent interface, Inkling 2 Small +50: Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.); Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.)
- Reach, Olmo 3 7B Think +35: 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.); Olmo 3 7B Think 75 (Memory earns the full 30, since Ollama's 4-bit build is 4.5 GB and fits 8 GB (per the 21 October check of Ollama's library).)
- Documentation and upkeep, Inkling 2 Small +15: Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.); Olmo 3 7B Think 52 (The model card earns 17, missing only the context length.)
- Risk, Olmo 3 7B Think +10: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.)
