# Qwen3.8-Flash-Next vs ZAYA1-8B (slim)

> Qwen3.8-Flash-Next and ZAYA1-8B 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/qwen3-8-flash-next-vs-zaya1-8b.md (~9,650 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b
- 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 ZAYA1-8B score within a point of each other on agent readiness, 61.8 (C) and 61 (C). ZAYA1-8B leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- 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
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- 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 Agent interface, 70 against 60.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling Ahead on Reach, 80 against 65; Risk, 55 against 45; Documentation and upkeep, 50 against 36.

| Category | Qwen3.8-Flash-Next | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 80 |
| Risk (20%) | 45 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 36 | 50 |

| Fact (where they differ) | Qwen3.8-Flash-Next | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | Zyphra |
| Licence | 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 | Apache-2.0 |
| Last release | 2026-08-31 | 2026-07-02 |
| Agent reviews | 2/5 (4) | none |

Why the edge:
- Reach, ZAYA1-8B +15: 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.); ZAYA1-8B 80 (Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB.)
- Documentation and upkeep, ZAYA1-8B +14: 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.); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)
- Risk, ZAYA1-8B +10: Qwen3.8-Flash-Next 45 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.); ZAYA1-8B 55 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Agent interface, Qwen3.8-Flash-Next +10: Qwen3.8-Flash-Next 70 (Chat template 20, a Jinja file in the repository.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)
