# Kolibri-1 vs LongCat-2.5 (slim)

> Kolibri-1 scores 61 (C) to LongCat-2.5's 50.5 (D) 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-longcat-2-5.md (~9,400 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/kolibri-1-vs-longcat-2-5.json · canonical https://www.anchorterminal.com/compare/kolibri-1-vs-longcat-2-5
- 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 LongCat-2.5's 50.5 (D), and leads in every scored category. 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
- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.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 35; Risk, 65 against 60; Agent interface, 90 against 75; Documentation and upkeep, 70 against 46.
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do

| Category | Kolibri-1 | LongCat-2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 35 |
| Risk (20%) | 65 | 60 |
| Agent interface (10%) | 90 | 75 |
| Documentation and upkeep (10%) | 70 | 46 |

| Fact (where they differ) | Kolibri-1 | LongCat-2.5 |
| --- | --- | --- |
| Vendor | Aleph Alpha | Meituan (LongCat) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-10-19 | 2026-11-10 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Reach, Kolibri-1 +30: 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…); LongCat-2.5 35 (Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB.)
- Documentation and upkeep, Kolibri-1 +24: Kolibri-1 70 (The model card earns 20 with all seven items.); LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.)
- Agent interface, Kolibri-1 +15: Kolibri-1 90 (The chat template earns 20 as Jinja in tokenizer_config.json.); LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.)
- Risk, Kolibri-1 +5: Kolibri-1 65 (File safety earns 25 for safetensors only, with no repository code run on load.); LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)