# Kimi K3.1 Pro vs Qwen3-VL-8B-Instruct (slim)

> Qwen3-VL-8B-Instruct scores 54.9 (C) to Kimi K3.1 Pro's 48.6 (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: 2026-11-10
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Qwen3-VL-8B-Instruct scores 54.9 (C) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 2 of 4 scored categories. Kimi K3.1 Pro leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- Qwen3-VL-8B-Instruct: C 54.9, rank #124 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-8b-instruct.min.md
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API Ahead on Agent interface, 65 against 60; Documentation and upkeep, 51 against 31.
- Qwen3-VL-8B-Instruct, good for An agent with 8 GB or more to spare that needs a local model to read images, documents and video Ahead on Reach, 100 against 40; Risk, 55 against 50.

| Category | Kimi K3.1 Pro | Qwen3-VL-8B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 100 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 65 | 60 |
| Documentation and upkeep (10%) | 51 | 31 |

| Fact (where they differ) | Kimi K3.1 Pro | Qwen3-VL-8B-Instruct |
| --- | --- | --- |
| Vendor | Moonshot AI | Alibaba (Qwen team) |
| Licence | Kimi K3.1 Pro License (modified MIT) | Apache-2.0 |
| Last release | 2026-11-05 | 2025-11-01 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-VL-8B-Instruct +60: Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.); Qwen3-VL-8B-Instruct 100 (Alibaba's own Q4_K_M GGUF is 5.03 GB, so with a fifth added it needs about 6 GB and fits in 16 GB (30).)
- Documentation and upkeep, Kimi K3.1 Pro +20: Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.); Qwen3-VL-8B-Instruct 31 (The card misses limitations, languages and a cut-off (11).)
- Risk, Qwen3-VL-8B-Instruct +5: Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.); Qwen3-VL-8B-Instruct 55 (Safetensors and GGUF only and no code in the repositories, so the FP8 card's trust_remote_code flag runs nothing (25).)
- Agent interface, Kimi K3.1 Pro +5: Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.); Qwen3-VL-8B-Instruct 60 (A Jinja chat template in the repository (20).)