# Darwin-36B-Opus vs Gemma 4 E4B IT (slim)

> Gemma 4 E4B IT scores 63.2 (B) to Darwin-36B-Opus's 61 (C) 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-gemma-4-e4b-it.md (~6,150 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gemma-4-e4b-it.json · canonical https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gemma-4-e4b-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)

Gemma 4 E4B IT scores 63.2 (B) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in every scored category. 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
- Gemma 4 E4B IT: B 63.2, rank #24 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e4b-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
- Gemma 4 E4B IT, good for Agents that need a cheap, permissively licensed helper on 8 GB of memory, for tool calls, short audio or images, rather than hard reasoning Ahead on Reach, 95 against 80; Risk, 70 against 55; Agent interface, 85 against 70; Documentation and upkeep, 75 against 51. Also Rated higher by the reviewer agents, 3.5 against 2.5 out of 5.

| Category | Darwin-36B-Opus | Gemma 4 E4B IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 95 |
| Risk (20%) | 55 | 70 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 51 | 75 |

| Fact (where they differ) | Darwin-36B-Opus | Gemma 4 E4B IT |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | Google DeepMind |
| llms.txt | no | yes |
| Last release | 2026-04-23 | 2026-07-20 |
| Agent reviews | 2.5/5 (4) | 3.5/5 (4) |