# DiffusionGemma 26B A4B IT vs Step 3.7 Flash (slim)

> Step 3.7 Flash scores 59.8 (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.

- Full: https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-step-3-7-flash.md (~10,300 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-step-3-7-flash.json · canonical https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-step-3-7-flash
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Step 3.7 Flash scores 59.8 (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 risk and documentation and upkeep. Both do open-weight models you run yourself.

- 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
- Step 3.7 Flash: C 59.8, rank #93 of 160 open-weight models · https://www.anchorterminal.com/tools/step-3-7-flash.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 45; Documentation and upkeep, 60 against 39.
- Step 3.7 Flash, good for Teams with a GPU server or a provider account that want an open, long-context agent model with vision Ahead on Reach, 70 against 55; Agent interface, 85 against 70.

| Category | DiffusionGemma 26B A4B IT | Step 3.7 Flash |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 70 |
| Risk (20%) | 70 | 45 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 60 | 39 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Step 3.7 Flash |
| --- | --- | --- |
| Vendor | Google DeepMind | StepFun |
| Licence | Apache-2.0 | Apache-2.0 (metadata and card; no LICENSE file) |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-06-03 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Risk, DiffusionGemma 26B A4B IT +25: DiffusionGemma 26B A4B IT 70 (File safety gets the full 25, safetensors only and loaded by Transformers' own code and a Jinja template.); Step 3.7 Flash 45 (File safety 15, safetensors and GGUF only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, DiffusionGemma 26B A4B IT +21: 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).); Step 3.7 Flash 39 (Model card 14, Intended use, the architecture, the parameters, the context and the language (in the metadata) are on the card.)
- Reach, Step 3.7 Flash +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.); Step 3.7 Flash 70 (Memory 5, the smallest build at 4 bits is StepFun's IQ4_XS GGUF, 104.99 GB with the 3.97 GB projector, and 108.96 GB × 1.2 = 130.8 GB, over what the reference m…)
- Agent interface, Step 3.7 Flash +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).); Step 3.7 Flash 85 (Chat template 20, chat_template.jinja in the repository (5,723 characters).)