# Ling-3.1-flash-1019 vs occamy-1.0 (slim)

> occamy-1.0 scores 61 (C) to Ling-3.1-flash-1019's 54.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-occamy-1-0.md (~9,750 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-occamy-1-0.json · canonical https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-occamy-1-0
- 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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occamy-1.0 scores 61 (C) on agent readiness against Ling-3.1-flash-1019's 54.8 (C), and leads in every scored category. Both do open-weight models you run yourself.

- Ling-3.1-flash-1019: C 54.8, rank #126 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-1-flash-1019.min.md
- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.min.md
- Ling-3.1-flash-1019, good for Teams with a multi-GPU server that want an MIT-licensed flagship for long agent runs and coding
- occamy-1.0, good for Agents that want an Apache 2.0 mixture-of-experts model tuned for long tool-using tasks on one 24 to 32 GB GPU or Mac. Ahead on Reach, 90 against 60; Risk, 55 against 45; Agent interface, 70 against 60; Documentation and upkeep, 74 against 56.

| Category | Ling-3.1-flash-1019 | occamy-1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 90 |
| Risk (20%) | 45 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 56 | 74 |

| Fact (where they differ) | Ling-3.1-flash-1019 | occamy-1.0 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Accio (Accio-Lab) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-11-04 | 2026-10-02 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, occamy-1.0 +30: Ling-3.1-flash-1019 60 (Memory 0, inclusionAI's only build is the FP8 release at 573.78 GB, × 1.2 = 688.5 GB, above 256 GB, and no runtime's library has a build.); occamy-1.0 90 (Memory 25 of 30, Accio's MLX mxfp4 build is 18.4 GB, 22.1 GB with a fifth added, and its IQ4_XS GGUF needs 22.5 GB, both within 24 GB.)
- Documentation and upkeep, occamy-1.0 +18: Ling-3.1-flash-1019 56 (Model card 11, Intended use (complex reasoning, multi-step tasks and agentic workflows), architecture, parameters (560B total, 25B active) and context (1M claim…); occamy-1.0 74 (Model card 14 of 20, languages and a knowledge cut-off are missing.)
- Risk, occamy-1.0 +10: Ling-3.1-flash-1019 45 (File safety 15, safetensors only, no .bin, .pt or .pth files (25), less 10 because the card's documented vLLM command passes --trust-remote-code, which runs the…); occamy-1.0 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)
- Agent interface, occamy-1.0 +10: Ling-3.1-flash-1019 60 (Chat template 20, chat_template.jinja in the repository (6,042 characters), which handles tools, the thinking switch and preserved reasoning.); occamy-1.0 70 (Chat template 20, the base's Jinja template in the repository.)