# Inkling 2 Small vs Qwen3-Omni-30B-A3B-Instruct (slim)

> Inkling 2 Small scores 58.8 (C) to Qwen3-Omni-30B-A3B-Instruct's 46.8 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-omni-30b-a3b-instruct.md (~11,200 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-omni-30b-a3b-instruct.json · canonical https://www.anchorterminal.com/compare/inkling-2-small-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: 2026-11-12
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Inkling 2 Small scores 58.8 (C) on agent readiness against Qwen3-Omni-30B-A3B-Instruct's 46.8 (D), and leads in 3 of 4 scored categories. Qwen3-Omni-30B-A3B-Instruct leads on reach. Both do open-weight models you run yourself.

- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- Qwen3-Omni-30B-A3B-Instruct: D 46.8, rank #155 of 161 open-weight models · https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct.min.md
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Risk, 65 against 55; Agent interface, 85 against 60; Documentation and upkeep, 67 against 26.
- Qwen3-Omni-30B-A3B-Instruct, good for Agents that need one local model to hear, see and answer, in text on about 24 GB with llama.cpp's GGUF or by voice on about 96 GB with Transformers Ahead on Reach, 75 against 40.

| Category | Inkling 2 Small | Qwen3-Omni-30B-A3B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 75 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 67 | 26 |

| Fact (where they differ) | Inkling 2 Small | Qwen3-Omni-30B-A3B-Instruct |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Alibaba (Qwen team) |
| Last release | 2026-11-12 | 2025-09-22 |
| Agent reviews | none | 2/5 (4) |

Why the edge:
- Documentation and upkeep, Inkling 2 Small +41: Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge 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 +35: Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.); Qwen3-Omni-30B-A3B-Instruct 75 (Memory earns 25, because llama.cpp's own ggml-org organisation publishes a Q4_K_M GGUF of 18.56 GB, which with its 1.33 GB projector is 23.9 GB with a fifth add…)
- Agent interface, Inkling 2 Small +25: Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.); Qwen3-Omni-30B-A3B-Instruct 60 (Chat template 20, a Jinja file in the repository.)
- Risk, Inkling 2 Small +10: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); 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.)