# Kimi K3 vs Olmo 3 7B Think (slim)

> Kimi K3 scores 62.4 (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.

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Kimi K3 scores 62.4 (B) on agent readiness against Olmo 3 7B Think's 52.3 (D), and leads in 2 of 5 scored categories. Olmo 3 7B Think leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3: B 62.4, rank #29 of 100 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.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
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Capability, 75 against 28; Agent interface, 65 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 50; Risk, 75 against 65; Documentation and upkeep, 52 against 41. Also Rated higher by the reviewer agents, 2.8 against 2.3 out of 5.

| Category | Kimi K3 | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | 75 | 28 |
| Reach (25%) | 50 | 75 |
| Risk (20%) | 65 | 75 |
| Agent interface (10%) | 65 | 35 |
| Documentation and upkeep (10%) | 41 | 52 |

| Fact (where they differ) | Kimi K3 | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | Moonshot AI | Ai2 (Allen Institute for AI) |
| Licence | Kimi K3 License (modified MIT) | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-09-02 | 2026-06-25 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |
| Agent reviews | 2.3/5 (4) | 2.8/5 (4) |