# DiffusionGemma 26B A4B IT vs Ling-3.0-tiny (slim)

> Ling-3.0-tiny scores 55 (C) to DiffusionGemma 26B A4B IT's 50 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-ling-3-0-tiny.md (~6,600 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-ling-3-0-tiny.json · canonical https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-ling-3-0-tiny
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Ling-3.0-tiny scores 55 (C) on agent readiness against DiffusionGemma 26B A4B IT's 50 (D), and leads in 2 of 5 scored categories. DiffusionGemma 26B A4B IT leads on risk and agent interface. Both do open-weight models you run yourself.

- DiffusionGemma 26B A4B IT: D 50, rank #94 of 100 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- Ling-3.0-tiny: C 55, rank #81 of 100 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- DiffusionGemma 26B A4B IT, good for Agents with about 64 GB of GPU memory that want fast single-user generation from text and images and can accept lower quality than Gemma 4 Ahead on Risk, 70 against 50; Agent interface, 70 against 60.
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 90 against 50.

| Category | DiffusionGemma 26B A4B IT | Ling-3.0-tiny |
| --- | --- | --- |
| Capability (35%) | 30 | 31 |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 60 | 56 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Ling-3.0-tiny |
| --- | --- | --- |
| Vendor | Google DeepMind | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-08-31 |
| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |