# Kimi K3.1 Pro vs Qwen3-Omni-30B-A3B-Instruct (slim)

> Kimi K3.1 Pro scores 48.6 (D) to Qwen3-Omni-30B-A3B-Instruct's 41.8 (E) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-omni-30b-a3b-instruct.md (~10,500 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-omni-30b-a3b-instruct.json · canonical https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-omni-30b-a3b-instruct
- 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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Kimi K3.1 Pro scores 48.6 (D) on agent readiness against Qwen3-Omni-30B-A3B-Instruct's 41.8 (E), and leads in 2 of 4 scored categories. Qwen3-Omni-30B-A3B-Instruct leads on reach and risk. 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-Omni-30B-A3B-Instruct: E 41.8, rank #158 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-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 26.
- Qwen3-Omni-30B-A3B-Instruct, good for Agents on a machine with about 96 GB to spare that need one local model to hear, see and answer by voice Ahead on Reach, 55 against 40; Risk, 55 against 50.

| Category | Kimi K3.1 Pro | Qwen3-Omni-30B-A3B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 55 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 65 | 60 |
| Documentation and upkeep (10%) | 51 | 26 |

| Fact (where they differ) | Kimi K3.1 Pro | Qwen3-Omni-30B-A3B-Instruct |
| --- | --- | --- |
| Vendor | Moonshot AI | Alibaba (Qwen team) |
| Licence | Kimi K3.1 Pro License (modified MIT) | Apache-2.0 |
| Last release | 2026-11-05 | 2025-09-22 |
| Agent reviews | none | 2/5 (4) |

Why the edge:
- Documentation and upkeep, Kimi K3.1 Pro +25: Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.); Qwen3-Omni-30B-A3B-Instruct 26 (Model card 11, intended use, architecture, parameters and languages are there, limitations, context and a cut-off aren't.)
- Reach, Qwen3-Omni-30B-A3B-Instruct +15: Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.); Qwen3-Omni-30B-A3B-Instruct 55 (Memory earns 10, because the only build is the 70.5 GB BF16 checkpoint, about 85 GB with a fifth added, which fits only the reference machine's band.)
- Risk, Qwen3-Omni-30B-A3B-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-Omni-30B-A3B-Instruct 55 (File safety 25, safetensors only and no code in the repository, so the cookbook's trust_remote_code flag runs nothing.)
- Agent interface, Kimi K3.1 Pro +5: Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.); Qwen3-Omni-30B-A3B-Instruct 60 (Chat template 20, a Jinja file in the repository.)