# Gemma 4 26B A4B IT vs LongCat-2.5 (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) 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/gemma-4-26b-a4b-it-vs-longcat-2-5.md (~9,750 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-longcat-2-5.json · canonical https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-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)

Gemma 4 26B A4B IT scores 72.2 (BB) 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.

- Gemma 4 26B A4B IT: BB 72.2, rank #5 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-26b-a4b-it.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
- Gemma 4 26B A4B IT, good for Agents on a 24 GB or larger GPU or Mac that want a fast, permissively licensed tool-calling model with images and long context Ahead on Reach, 90 against 35; Risk, 70 against 60; Agent interface, 85 against 75; Documentation and upkeep, 65 against 46. Also Agent-ready, a grade of BB or better.
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do

| Category | Gemma 4 26B A4B IT | LongCat-2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 35 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 65 | 46 |

| Fact (where they differ) | Gemma 4 26B A4B IT | LongCat-2.5 |
| --- | --- | --- |
| Vendor | Google DeepMind | Meituan (LongCat) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-07-20 | 2026-11-10 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Reach, Gemma 4 26B A4B IT +55: Gemma 4 26B A4B IT 90 (Memory 25, Google's own 4-bit QAT GGUF is 14.4 GB, which with a fifth on top is 17.3 GB and lands in the 24 GB band, with the 1.2 GB vision projector extra for…); 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, Gemma 4 26B A4B IT +19: Gemma 4 26B A4B IT 65 (Model card 20, all seven items are there.); LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.)
- Risk, Gemma 4 26B A4B IT +10: Gemma 4 26B A4B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Agent interface, Gemma 4 26B A4B IT +10: Gemma 4 26B A4B IT 85 (Chat template 20, a Jinja file in the repository.); LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.)