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

> LFM3-Audio-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-audio-2b-vs-spark-x2-6-4b.md (~9,150 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-spark-x2-6-4b.json · canonical https://www.anchorterminal.com/compare/lfm3-audio-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
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LFM3-Audio-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 reach and risk. Both do open-weight models you run yourself.

- LFM3-Audio-2B: C 61, rank #70 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-audio-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-Audio-2B, good for Voice agents on a laptop or phone that need speech in, speech out and tool calls from one small model Ahead on Agent interface, 85 against 70.
- 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; Risk, 50 against 40.

| Category | LFM3-Audio-2B | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 85 |
| Risk (20%) | 40 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 52 | 51 |

| Fact (where they differ) | LFM3-Audio-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 | 2026-11-03 | 2026-10-20 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Agent interface, LFM3-Audio-2B +15: LFM3-Audio-2B 85 (Chat template 20, chat_template.jinja in the repository (9,328 characters), with roles, audio, tools, deferred tools and tool results.); Spark-X2.6-4B 70 (Chat template 20, a Jinja file in the repository.)
- Risk, Spark-X2.6-4B +10: LFM3-Audio-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.)
- Reach, Spark-X2.6-4B +5: LFM3-Audio-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.17 GB projector file, and 1.27 GB × 1.2 = 1.5 GB, which fits 8 GB, well inside the 16 GB line.); 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.)