# LFM3-VL-2B vs Qwen3.8-Flash-Next (slim)

> Qwen3.8-Flash-Next and LFM3-VL-2B score within a point of each other for open-weight models you run yourself, 61.8 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-qwen3-8-flash-next.md (~10,150 tokens) · this version ~880 tokens · JSON https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-qwen3-8-flash-next.json · canonical https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-qwen3-8-flash-next
- 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)

Qwen3.8-Flash-Next and LFM3-VL-2B score within a point of each other on agent readiness, 61.8 (C) and 61 (C). LFM3-VL-2B leads on reach, agent interface and documentation and upkeep. 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
- Qwen3.8-Flash-Next: C 61.8, rank #34 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-flash-next.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 Reach, 85 against 65; Agent interface, 90 against 70; Documentation and upkeep, 77 against 36.
- Qwen3.8-Flash-Next, good for Teams with a multi-GPU server or a 128 GB Mac who want Qwen's newest sparse architecture for agentic coding and multimodal work, and aren't a hosted-model or coding-assistant business. Ahead on Risk, 45 against 40.

| Category | LFM3-VL-2B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 65 |
| Risk (20%) | 40 | 45 |
| Agent interface (10%) | 90 | 70 |
| Documentation and upkeep (10%) | 77 | 36 |

| Fact (where they differ) | LFM3-VL-2B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Vendor | Liquid AI | Alibaba (Qwen team) |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Qwen Community License 1.0 (custom, not an OSI licence). Free of charge, the model name shown in products above 100M monthly users or US$20M monthly revenue, and a separate licence from Qwen before commercial use by a Model as a Service or AI Work Assistant business |
| llms.txt | yes | no |
| Last release | 2026-11-09 | 2026-08-31 |
| Agent reviews | none | 2/5 (4) |

Why the edge:
- Documentation and upkeep, LFM3-VL-2B +41: 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…); Qwen3.8-Flash-Next 36 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, languages and a knowledge cut-off aren't.)
- Reach, LFM3-VL-2B +20: LFM3-VL-2B 85 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.20 GB projector file, and 1.30 GB × 1.2 = 1.6 GB, which fits 8 GB, well inside the 16 GB line.); Qwen3.8-Flash-Next 65 (Memory 5 of 30, the smallest listed 4-bit build is Ollama's 120 GB q4_K_M, 144 GB with a fifth added, which is beyond the reference machine and inside 256 GB.)
- 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…); Qwen3.8-Flash-Next 70 (Chat template 20, a Jinja file in the repository.)
- Risk, Qwen3.8-Flash-Next +5: LFM3-VL-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Qwen3.8-Flash-Next 45 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)