# Cosmos-Reason2-2B vs DeepSeek-V4-Flash-0731 (slim)

> DeepSeek-V4-Flash-0731 scores 62.4 (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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DeepSeek-V4-Flash-0731 scores 62.4 (B) on agent readiness against Cosmos-Reason2-2B's 59.5 (C), and leads in 3 of 4 scored categories. Cosmos-Reason2-2B leads on 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
- DeepSeek-V4-Flash-0731: B 62.4, rank #28 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.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 Risk, 60 against 50.
- DeepSeek-V4-Flash-0731, good for Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context Ahead on Reach, 70 against 65; Agent interface, 75 against 65.

| Category | Cosmos-Reason2-2B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 70 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 65 | 75 |
| Documentation and upkeep (10%) | 39 | 43 |

| Fact (where they differ) | Cosmos-Reason2-2B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Vendor | NVIDIA | DeepSeek |
| Licence | NVIDIA Open Model License (custom, commercial use allowed, not an OSI licence); built on Qwen3-VL-2B-Instruct under Apache 2.0 | MIT |
| Last release | 2026-03-10 | 2026-07-31 |
| Terms last updated |  | no document linked |