# Inkling-Small vs OTel-2.0-LLM-31B-IT (slim)

> Inkling-Small scores 67 (B) to OTel-2.0-LLM-31B-IT's 56.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/inkling-small-vs-otel-2-0-llm-31b-it.md (~10,000 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/inkling-small-vs-otel-2-0-llm-31b-it.json · canonical https://www.anchorterminal.com/compare/inkling-small-vs-otel-2-0-llm-31b-it
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Inkling-Small scores 67 (B) on agent readiness against OTel-2.0-LLM-31B-IT's 56.8 (C), and leads in every scored category. Both do open-weight models you run yourself.

- Inkling-Small: B 67, rank #13 of 160 open-weight models · https://www.anchorterminal.com/tools/inkling-small.min.md
- OTel-2.0-LLM-31B-IT: C 56.8, rank #111 of 160 open-weight models · https://www.anchorterminal.com/tools/otel-2-0-llm-31b-it.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 Reach, 55 against 50; Risk, 70 against 55; Agent interface, 85 against 60; Documentation and upkeep, 87 against 74.
- OTel-2.0-LLM-31B-IT, good for Telecoms teams that want an open model for standards questions and RAG on their own hardware

| Category | Inkling-Small | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 50 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 87 | 74 |

| Fact (where they differ) | Inkling-Small | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | AT&T (Open Telco AI) |
| Last release | 2026-07-31 | 2026-11-01 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Agent interface, Inkling-Small +25: Inkling-Small 85 (Chat template 20, a Jinja file in the repository.); OTel-2.0-LLM-31B-IT 60 (Chat template 20, chat_template.jinja in the repository, 19,300 characters, the publisher's own.)
- Risk, Inkling-Small +15: Inkling-Small 70 (File safety 25, safetensors only and no repository code to run.); OTel-2.0-LLM-31B-IT 55 (File safety 25, safetensors only, with no .bin, .pt or .pth files and no Python files.)
- Documentation and upkeep, Inkling-Small +13: Inkling-Small 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.); OTel-2.0-LLM-31B-IT 74 (Model card 14, Intended use, a long limitations section, the architecture and training method, the parameters (31B) and the language (English) are on the card.)
- Reach, Inkling-Small +5: Inkling-Small 55 (Memory 5 of 30, the smallest 4-bit build is Thinking Machines' NVFP4 at 170.8 GB, about 205 GB with a fifth added, so it needs 256 GB.); OTel-2.0-LLM-31B-IT 50 (Memory 10, the publisher's only build is the BF16 safetensors, 62.55 GB for the 15 shards the index names, and 62.55 GB × 1.2 = 75.1 GB, above 64 GB and inside…)