# Cosmos-Reason2-2B vs Olmo 3 7B Think (slim)

> Cosmos-Reason2-2B scores 59.5 (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.

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- 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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Cosmos-Reason2-2B scores 59.5 (C) on agent readiness against Olmo 3 7B Think's 52.3 (D), and leads in 1 of 4 scored categories. Olmo 3 7B Think leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- Cosmos-Reason2-2B: C 59.5, rank #59 of 100 open-weight models · https://www.anchorterminal.com/tools/cosmos-reason2-2b.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
- Cosmos-Reason2-2B, good for Agents that need a small local model to reason over camera footage and images for robotics, driving or smart spaces Ahead on 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 65; Risk, 75 against 60; Documentation and upkeep, 52 against 39.

| Category | Cosmos-Reason2-2B | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 75 |
| Risk (20%) | 60 | 75 |
| Agent interface (10%) | 65 | 35 |
| Documentation and upkeep (10%) | 39 | 52 |

| Fact (where they differ) | Cosmos-Reason2-2B | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | NVIDIA | Ai2 (Allen Institute for AI) |
| Licence | NVIDIA Open Model License (custom, commercial use allowed, not an OSI licence); built on Qwen3-VL-2B-Instruct under Apache 2.0 | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-03-10 | 2026-06-25 |
| Privacy policy last updated | no document linked |  |
| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |