# Cosmos-Reason2-2B vs DiffusionGemma 26B A4B IT (slim)

> Cosmos-Reason2-2B scores 59.5 (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/cosmos-reason2-2b-vs-diffusiongemma-26b-a4b-it.md (~6,800 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-diffusiongemma-26b-a4b-it.json · canonical https://www.anchorterminal.com/compare/cosmos-reason2-2b-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
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Cosmos-Reason2-2B scores 59.5 (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, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Cosmos-Reason2-2B: C 59.5, rank #59 of 100 open-weight models · https://www.anchorterminal.com/tools/cosmos-reason2-2b.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
- Cosmos-Reason2-2B, good for Agents that need a small local model to reason over camera footage and images for robotics, driving or smart spaces Ahead on Reach, 65 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 60; Agent interface, 70 against 65; Documentation and upkeep, 60 against 39.

| Category | Cosmos-Reason2-2B | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 50 |
| Risk (20%) | 60 | 70 |
| Agent interface (10%) | 65 | 70 |
| Documentation and upkeep (10%) | 39 | 60 |

| Fact (where they differ) | Cosmos-Reason2-2B | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Vendor | NVIDIA | Google DeepMind |
| Licence | NVIDIA Open Model License (custom, commercial use allowed, not an OSI licence); built on Qwen3-VL-2B-Instruct under Apache 2.0 | Apache-2.0 |
| llms.txt | no | yes |
| Last release | 2026-03-10 | 2026-07-15 |
| Terms last updated |  | no document linked |