# Qwen3.5-122B-A10B vs Spark-X2.6-4B (slim)

> Qwen3.5-122B-A10B scores 63.6 (B) to Spark-X2.6-4B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-spark-x2-6-4b.md (~6,250 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-spark-x2-6-4b.json · canonical https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-spark-x2-6-4b
- 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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Qwen3.5-122B-A10B scores 63.6 (B) on agent readiness against Spark-X2.6-4B's 61 (C), and leads in 1 of 4 scored categories. Spark-X2.6-4B leads on reach. Both do open-weight models you run yourself.

- Qwen3.5-122B-A10B: B 63.6, rank #22 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-122b-a10b.min.md
- Spark-X2.6-4B: C 61, rank #48 of 100 open-weight models · https://www.anchorterminal.com/tools/spark-x2-6-4b.min.md
- Qwen3.5-122B-A10B, good for Agents with a 128 GB unified-memory machine or two large GPUs that want a capable vision-language model with a plain licence. Ahead on Risk, 55 against 50.
- Spark-X2.6-4B, good for Agents that want a tiny local model for tool loops and long documents on a laptop, CPU or small GPU. Ahead on Reach, 85 against 80.

| Category | Qwen3.5-122B-A10B | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 39 | 41 |

| Fact (where they differ) | Qwen3.5-122B-A10B | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | SparkLLM (XHToken) |
| Last release | 2026-02-24 | 2026-10-20 |