# Darwin-36B-Opus vs Ling-3.0-tiny (slim)

> Darwin-36B-Opus scores 61 (C) to Ling-3.0-tiny's 55 (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-ling-3-0-tiny.md (~6,200 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/darwin-36b-opus-vs-ling-3-0-tiny.json · canonical https://www.anchorterminal.com/compare/darwin-36b-opus-vs-ling-3-0-tiny
- 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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Darwin-36B-Opus scores 61 (C) on agent readiness against Ling-3.0-tiny's 55 (C), and leads in 2 of 4 scored categories. Ling-3.0-tiny leads on reach 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
- Ling-3.0-tiny: C 55, rank #81 of 100 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.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 Risk, 55 against 50; Agent interface, 70 against 60.
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 90 against 80; Documentation and upkeep, 56 against 51.

| Category | Darwin-36B-Opus | Ling-3.0-tiny |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 51 | 56 |

| Fact (where they differ) | Darwin-36B-Opus | Ling-3.0-tiny |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-04-23 | 2026-08-31 |
| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |