# DeepSeek V4.1 Flash vs Ling-3.0-tiny (slim)

> DeepSeek V4.1 Flash scores 59 (C) to Ling-3.0-tiny's 55 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-ling-3-0-tiny.md (~6,400 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-ling-3-0-tiny.json · canonical https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-ling-3-0-tiny
- 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 V4.1 Flash scores 59 (C) on agent readiness against Ling-3.0-tiny's 55 (C), and leads in 2 of 5 scored categories. Ling-3.0-tiny leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek V4.1 Flash: C 59, rank #63 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-1-flash.min.md
- Ling-3.0-tiny: C 55, rank #81 of 100 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- DeepSeek V4.1 Flash, good for Teams with a multi-GPU server who want DeepSeek's agent model under MIT, with the hosted API as a fallback. Ahead on Capability, 69 against 31; Agent interface, 75 against 60.
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 90 against 50; Documentation and upkeep, 56 against 48.

| Category | DeepSeek V4.1 Flash | Ling-3.0-tiny |
| --- | --- | --- |
| Capability (35%) | 69 | 31 |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 75 | 60 |
| Documentation and upkeep (10%) | 48 | 56 |

| Fact (where they differ) | DeepSeek V4.1 Flash | Ling-3.0-tiny |
| --- | --- | --- |
| Vendor | DeepSeek | inclusionAI (Ant Group) |
| Last release | 2026-10-17 | 2026-08-31 |