# Cola2 vs DiffusionGemma 26B A4B IT (slim)

> DiffusionGemma 26B A4B IT scores 51.3 (D) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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
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DiffusionGemma 26B A4B IT scores 51.3 (D) on agent readiness against Cola2's 33.9 (F), and leads in every scored category. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.min.md
- DiffusionGemma 26B A4B IT: D 51.3, rank #143 of 160 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study
- 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 25; Risk, 70 against 40; Agent interface, 70 against 20.

| Category | Cola2 | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 55 |
| Risk (20%) | 40 | 70 |
| Agent interface (10%) | 20 | 70 |
| Documentation and upkeep (10%) | 58 | 60 |

| Fact (where they differ) | Cola2 | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Google DeepMind |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-07-15 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Agent interface, DiffusionGemma 26B A4B IT +50: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); 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).)
- Reach, DiffusionGemma 26B A4B IT +30: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.); 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.)
- Risk, DiffusionGemma 26B A4B IT +30: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); DiffusionGemma 26B A4B IT 70 (File safety gets the full 25, safetensors only and loaded by Transformers' own code and a Jinja template.)