# DeepSeek-V3.2 vs Olmo 3 7B Think (slim)

> DeepSeek-V3.2 scores 58.6 (C) 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/deepseek-v3-2-vs-olmo-3-7b-think.md (~6,150 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/deepseek-v3-2-vs-olmo-3-7b-think.json · canonical https://www.anchorterminal.com/compare/deepseek-v3-2-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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

DeepSeek-V3.2 scores 58.6 (C) 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.

- DeepSeek-V3.2: C 58.6, rank #65 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.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
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider Ahead on Capability, 69 against 28; Agent interface, 60 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 60; Risk, 75 against 50; Documentation and upkeep, 52 against 34. Also Rated higher by the reviewer agents, 2.8 against 2.3 out of 5.

| Category | DeepSeek-V3.2 | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | 69 | 28 |
| Reach (25%) | 60 | 75 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 60 | 35 |
| Documentation and upkeep (10%) | 34 | 52 |

| Fact (where they differ) | DeepSeek-V3.2 | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | DeepSeek | Ai2 (Allen Institute for AI) |
| Licence | MIT | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2025-12-01 | 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) |