# Gemma 4 31B IT vs LBS-27B (slim)

> Gemma 4 31B IT scores 74.1 (BB) to LBS-27B's 53.9 (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-4-31b-it-vs-lbs-27b.md (~6,400 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-lbs-27b.json · canonical https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-lbs-27b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-27
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Gemma 4 31B IT scores 74.1 (BB) on agent readiness against LBS-27B's 53.9 (D), and leads in every scored category. Both do open-weight models you run yourself.

- Gemma 4 31B IT: BB 74.1, rank #2 of 113 open-weight models · https://www.anchorterminal.com/tools/gemma-4-31b-it.min.md
- LBS-27B: D 53.9, rank #91 of 113 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- Gemma 4 31B IT, good for An agent with a 24 GB GPU or more that wants a dense multimodal cousin with tool calling under a plain licence Ahead on Reach, 95 against 55; Risk, 70 against 50; Agent interface, 85 against 70; Documentation and upkeep, 65 against 43. Also Agent-ready, a grade of BB or better.
- LBS-27B, good for Agents with about 96 GB of GPU memory that need to find click targets on dense professional screenshots, or read fine detail in large images, and can run a small crop loop and wait for independent results.

| Category | Gemma 4 31B IT | LBS-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 55 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 65 | 43 |

| Fact (where they differ) | Gemma 4 31B IT | LBS-27B |
| --- | --- | --- |
| Vendor | Google DeepMind | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | Apache-2.0 (the card's metadata and licence section; the LICENSE file sits in the GitHub repository inclusionAI/UI-Venus on its LBS branch, not in the Hugging Face repository) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-10-26 |
| Agent reviews | 3.8/5 (4) | none |