# Nanbeige4.2-3B vs Qwen3.8-Flash-Next (slim)

> Qwen3.8-Flash-Next and Nanbeige4.2-3B 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/nanbeige-4-2-3b-vs-qwen3-8-flash-next.md (~10,350 tokens) · this version ~880 tokens · JSON https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-flash-next.json · canonical https://www.anchorterminal.com/compare/nanbeige-4-2-3b-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
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Qwen3.8-Flash-Next and Nanbeige4.2-3B score within a point of each other on agent readiness, 61.8 (C) and 61 (C). Nanbeige4.2-3B leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Nanbeige4.2-3B: C 61, rank #78 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-2-3b.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
- Nanbeige4.2-3B, good for Local agents that need tool calling and a long context on a laptop or a small GPU Ahead on Reach, 85 against 65; Risk, 55 against 45; Agent interface, 85 against 70; Documentation and upkeep, 72 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.

| Category | Nanbeige4.2-3B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 65 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 72 | 36 |

| Fact (where they differ) | Nanbeige4.2-3B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Vendor | Nanbeige LLM Lab (BOSS Zhipin) | Alibaba (Qwen team) |
| Licence | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) | 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 |
| Last release | 2026-09-11 | 2026-08-31 |
| Agent reviews | none | 2/5 (4) |

Why the edge:
- Documentation and upkeep, Nanbeige4.2-3B +36: Nanbeige4.2-3B 72 (Model card 17, Intended use, limitations, the architecture, the parameters (3B outside the embeddings), the context and the languages (in the metadata) are on t…); 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, Nanbeige4.2-3B +20: Nanbeige4.2-3B 85 (Memory 30, the smallest build from Nanbeige is the FP8 repository (the 8-bit GPTQ one is the same size), 5.19 GB, and 5.19 GB × 1.2 = 6.2 GB, within 16 GB.); 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, Nanbeige4.2-3B +15: Nanbeige4.2-3B 85 (Chat template 20, A Jinja chat template in tokenizer_config.json (7,961 characters), with enable_thinking, preserve_thinking, tools and tool_call_format switche…); Qwen3.8-Flash-Next 70 (Chat template 20, a Jinja file in the repository.)
- Risk, Nanbeige4.2-3B +10: Nanbeige4.2-3B 55 (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.)