# LFM3-VL-2B vs Spark-X2.6-4B (slim)

> LFM3-VL-2B 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/lfm3-vl-2b-vs-spark-x2-6-4b.md (~9,050 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-spark-x2-6-4b.json · canonical https://www.anchorterminal.com/compare/lfm3-vl-2b-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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

LFM3-VL-2B and Spark-X2.6-4B score within a point of each other on agent readiness, 61 (C) and 61 (C). Spark-X2.6-4B leads on risk. Both do open-weight models you run yourself.

- LFM3-VL-2B: C 61, rank #72 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-vl-2b.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
- LFM3-VL-2B, good for Agents on a laptop, phone or robot that need to read screens, documents, images and video from a model under 2 GB at 4 bits Ahead on Agent interface, 90 against 70; Documentation and upkeep, 77 against 51.
- 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 Risk, 50 against 40.

| Category | LFM3-VL-2B | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 85 |
| Risk (20%) | 40 | 50 |
| Agent interface (10%) | 90 | 70 |
| Documentation and upkeep (10%) | 77 | 51 |

| Fact (where they differ) | LFM3-VL-2B | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | Liquid AI | SparkLLM (XHToken) |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-11-09 | 2026-10-20 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, LFM3-VL-2B +26: LFM3-VL-2B 77 (Model card 17, Intended use (questions about video, documents, charts and app screens, finding objects, spatial reasoning), a limitation (not recommended for co…); Spark-X2.6-4B 51 (Model card 11 of 20, intended use, parameters, context and languages, with no limitations, cut-off or architecture description of its own.)
- Agent interface, LFM3-VL-2B +20: LFM3-VL-2B 90 (Chat template 20, chat_template.jinja in the repository (12,129 characters), with roles, images and video, tools, deferred tools, tool results and the thinking…); Spark-X2.6-4B 70 (Chat template 20, a Jinja file in the repository.)
- Risk, Spark-X2.6-4B +10: LFM3-VL-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); 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.)