# Kimi K3 vs Qwopus3.8-27B-Flash-V2 (slim)

> Kimi K3 scores 62.4 (B) to Qwopus3.8-27B-Flash-V2's 61 (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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Kimi K3 scores 62.4 (B) on agent readiness against Qwopus3.8-27B-Flash-V2's 61 (C), and leads in 2 of 4 scored categories. Qwopus3.8-27B-Flash-V2 leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3: B 62.4, rank #29 of 100 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.min.md
- Qwopus3.8-27B-Flash-V2: C 61, rank #46 of 100 open-weight models · https://www.anchorterminal.com/tools/qwopus3-8-27b-flash-v2.min.md
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Risk, 65 against 50; Agent interface, 65 against 60.
- Qwopus3.8-27B-Flash-V2, good for Hobbyist and research agents that want a faster-finishing Qwen3.8-27B for local coding loops on a 24 GB GPU. Ahead on Reach, 85 against 50; Documentation and upkeep, 56 against 41.

| Category | Kimi K3 | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 65 | 60 |
| Documentation and upkeep (10%) | 41 | 56 |

| Fact (where they differ) | Kimi K3 | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Vendor | Moonshot AI | Jackrong |
| Licence | Kimi K3 License (modified MIT) | Apache-2.0 (metadata only, no LICENSE file); built on Qwen3.8-27B under Apache 2.0 |
| Last release | 2026-09-02 | 2026-09-21 |
| Agent reviews | 2.3/5 (4) | 2.5/5 (4) |
