# Kolibri-1 vs OTel-2.0-LLM-31B-IT (slim)

> Kolibri-1 scores 61 (C) 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/kolibri-1-vs-otel-2-0-llm-31b-it.md (~9,450 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/kolibri-1-vs-otel-2-0-llm-31b-it.json · canonical https://www.anchorterminal.com/compare/kolibri-1-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)

Kolibri-1 scores 61 (C) on agent readiness against OTel-2.0-LLM-31B-IT's 56.8 (C), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- Kolibri-1: C 61, rank #44 of 160 open-weight models · https://www.anchorterminal.com/tools/kolibri-1.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
- 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 50; Risk, 65 against 55; Agent interface, 90 against 60.
- 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 | Kolibri-1 | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 50 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 90 | 60 |
| Documentation and upkeep (10%) | 70 | 74 |

| Fact (where they differ) | Kolibri-1 | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Vendor | Aleph Alpha | AT&T (Open Telco AI) |
| Last release | 2026-10-19 | 2026-11-01 |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Agent interface, Kolibri-1 +30: Kolibri-1 90 (The chat template earns 20 as Jinja in tokenizer_config.json.); OTel-2.0-LLM-31B-IT 60 (Chat template 20, chat_template.jinja in the repository, 19,300 characters, the publisher's own.)
- Reach, Kolibri-1 +15: 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…); 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…)
- Risk, Kolibri-1 +10: Kolibri-1 65 (File safety earns 25 for safetensors only, with no repository code run on load.); OTel-2.0-LLM-31B-IT 55 (File safety 25, safetensors only, with no .bin, .pt or .pth files and no Python files.)