# Cosmos-Reason2-2B vs GLM-5.3 (slim)

> GLM-5.3 scores 64.6 (B) to Cosmos-Reason2-2B's 59.5 (C) 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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GLM-5.3 scores 64.6 (B) on agent readiness against Cosmos-Reason2-2B's 59.5 (C), and leads in 2 of 4 scored categories. Cosmos-Reason2-2B leads on reach and risk. 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
- GLM-5.3: B 64.6, rank #17 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.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 Reach, 65 against 55; Risk, 60 against 50.
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider Ahead on Agent interface, 70 against 65; Documentation and upkeep, 58 against 39.

| Category | Cosmos-Reason2-2B | GLM-5.3 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 55 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 65 | 70 |
| Documentation and upkeep (10%) | 39 | 58 |

| Fact (where they differ) | Cosmos-Reason2-2B | GLM-5.3 |
| --- | --- | --- |
| Vendor | NVIDIA | Z.ai (Zhipu AI) |
| Licence | NVIDIA Open Model License (custom, commercial use allowed, not an OSI licence); built on Qwen3-VL-2B-Instruct under Apache 2.0 | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) |
| Last release | 2026-03-10 | 2026-10-14 |
| Terms last updated |  | no document linked |
| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |
