# DiffusionGemma 26B A4B IT vs Qwopus3.8-27B-Flash-V2 (slim)

> Qwopus3.8-27B-Flash-V2 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/diffusiongemma-26b-a4b-it-vs-qwopus3-8-27b-flash-v2.md (~6,900 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwopus3-8-27b-flash-v2.json · canonical https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwopus3-8-27b-flash-v2
- 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
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Qwopus3.8-27B-Flash-V2 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 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
- Qwopus3.8-27B-Flash-V2: C 61, rank #46 of 100 open-weight models · https://www.anchorterminal.com/tools/qwopus3-8-27b-flash-v2.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.
- Qwopus3.8-27B-Flash-V2, good for Hobbyist and research agents that want a faster-finishing Qwen3.8-27B for local coding loops on a 24 GB GPU. Ahead on Reach, 85 against 50.

| Category | DiffusionGemma 26B A4B IT | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 60 | 56 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Vendor | Google DeepMind | Jackrong |
| Licence | Apache-2.0 | Apache-2.0 (metadata only, no LICENSE file); built on Qwen3.8-27B under Apache 2.0 |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-09-21 |
