# Darwin-36B-Opus vs DiffusionGemma 26B A4B IT (slim)

> Darwin-36B-Opus scores 61 (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/darwin-36b-opus-vs-diffusiongemma-26b-a4b-it.md (~6,650 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/darwin-36b-opus-vs-diffusiongemma-26b-a4b-it.json · canonical https://www.anchorterminal.com/compare/darwin-36b-opus-vs-diffusiongemma-26b-a4b-it
- 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)

Darwin-36B-Opus scores 61 (C) on agent readiness against DiffusionGemma 26B A4B IT's 50 (D), and leads in 1 of 4 scored categories. DiffusionGemma 26B A4B IT leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Darwin-36B-Opus: C 61, rank #37 of 100 open-weight models · https://www.anchorterminal.com/tools/darwin-36b-opus.min.md
- DiffusionGemma 26B A4B IT: D 50, rank #94 of 100 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- Darwin-36B-Opus, good for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required Ahead on Reach, 80 against 50.
- 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 55; Documentation and upkeep, 60 against 51.

| Category | Darwin-36B-Opus | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 50 |
| Risk (20%) | 55 | 70 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 51 | 60 |

| Fact (where they differ) | Darwin-36B-Opus | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | Google DeepMind |
| llms.txt | no | yes |
| Last release | 2026-04-23 | 2026-07-15 |