# MiniCPM-V 4.7 1B vs Spark-X2.6-4B (slim)

> MiniCPM-V 4.7 1B and Spark-X2.6-4B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-spark-x2-6-4b.md (~9,000 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-spark-x2-6-4b.json · canonical https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-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: 2026-11-10
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MiniCPM-V 4.7 1B and Spark-X2.6-4B score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do open-weight models you run yourself.

- MiniCPM-V 4.7 1B: C 61, rank #76 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-1b.min.md
- Spark-X2.6-4B: C 61, rank #56 of 160 open-weight models · https://www.anchorterminal.com/tools/spark-x2-6-4b.min.md
- MiniCPM-V 4.7 1B, good for Agents that need a cheap local model to read screenshots, photos and short video on a phone, a laptop or beside a bigger model Ahead on Reach, 95 against 85; 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.

| Category | MiniCPM-V 4.7 1B | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 48 | 51 |

| Fact (where they differ) | MiniCPM-V 4.7 1B | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | OpenBMB | SparkLLM (XHToken) |
| Last release | 2026-10-30 | 2026-10-20 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, MiniCPM-V 4.7 1B +10: MiniCPM-V 4.7 1B 95 (Memory 30, OpenBMB's own IQ4_XS GGUF is 0.64 GB, 1.54 GB with the 0.90 GB vision projector, and 1.54 GB × 1.2 = 1.9 GB, which fits 16 GB with room to spare.); Spark-X2.6-4B 85 (Memory 30, SparkLLM's Q4_K_M GGUF is 3.19 GB, about 3.8 GB with a fifth added, which fits 8 GB.)
- Risk, MiniCPM-V 4.7 1B +5: MiniCPM-V 4.7 1B 55 (File safety 25, safetensors in the main repository and the AWQ, GPTQ and int4 builds, GGUF in the GGUF build, with no .bin, .pt, .pth or .py files in the main r…); Spark-X2.6-4B 50 (File safety 15 of 25, safetensors and GGUF only, but the card's Transformers and vLLM routes run the repository's Python.)
