# DiffusionGemma 26B A4B IT vs Inkling 2 Small (slim)

> Inkling 2 Small scores 58.8 (C) to DiffusionGemma 26B A4B IT's 51.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Inkling 2 Small scores 58.8 (C) on agent readiness against DiffusionGemma 26B A4B IT's 51.3 (D), and leads in 2 of 4 scored categories. DiffusionGemma 26B A4B IT leads on reach and risk. Both do open-weight models you run yourself.

- DiffusionGemma 26B A4B IT: D 51.3, rank #144 of 161 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.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 Reach, 55 against 40; Risk, 70 against 65.
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Agent interface, 85 against 70; Documentation and upkeep, 67 against 60.

| Category | DiffusionGemma 26B A4B IT | Inkling 2 Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 40 |
| Risk (20%) | 70 | 65 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 60 | 67 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Inkling 2 Small |
| --- | --- | --- |
| Vendor | Google DeepMind | Thinking Machines Lab |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-11-12 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, DiffusionGemma 26B A4B IT +15: DiffusionGemma 26B A4B IT 55 (Memory earns 15 because the only Google build is 51.7 GB of BF16, about 62 GB with the fifth added, which needs the 64 GB band.); Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.)
- Agent interface, Inkling 2 Small +15: DiffusionGemma 26B A4B IT 70 (The chat template is in the repository (20) and handles several tool calls in one turn, and the card names function calling as trained (20).); Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, Inkling 2 Small +7: DiffusionGemma 26B A4B IT 60 (The card covers all seven points (20), and the training data is a general description with a January 2025 cut-off (10).); Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.)
- Risk, DiffusionGemma 26B A4B IT +5: DiffusionGemma 26B A4B IT 70 (File safety gets the full 25, safetensors only and loaded by Transformers' own code and a Jinja template.); Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.)