# Hy3 vs Olmo 3 7B Think (slim)

> Hy3 scores 62.6 (B) to Olmo 3 7B Think's 52.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/hy3-vs-olmo-3-7b-think.md (~5,800 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/hy3-vs-olmo-3-7b-think.json · canonical https://www.anchorterminal.com/compare/hy3-vs-olmo-3-7b-think
- 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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Hy3 scores 62.6 (B) on agent readiness against Olmo 3 7B Think's 52.3 (D), and leads in 3 of 5 scored categories. Olmo 3 7B Think leads on reach and risk. Both do open-weight models you run yourself.

- Hy3: B 62.6, rank #27 of 100 open-weight models · https://www.anchorterminal.com/tools/hy3.min.md
- Olmo 3 7B Think: D 52.3, rank #86 of 100 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.min.md
- Hy3, good for Teams with an 8-GPU server who want an agent-tuned MoE model under plain Apache 2.0 Ahead on Capability, 57 against 28; Agent interface, 75 against 35.
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Reach, 75 against 70; Risk, 75 against 60.

| Category | Hy3 | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | 57 | 28 |
| Reach (25%) | 70 | 75 |
| Risk (20%) | 60 | 75 |
| Agent interface (10%) | 75 | 35 |
| Documentation and upkeep (10%) | 56 | 52 |

| Fact (where they differ) | Hy3 | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Ai2 (Allen Institute for AI) |
| Licence | Apache-2.0 | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-07-20 | 2026-06-25 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |