# Ling-3.1-flash-1019 vs Ripple-65B Preview (slim)

> Ling-3.1-flash-1019 scores 54.8 (C) to Ripple-65B Preview's 53.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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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Ling-3.1-flash-1019 scores 54.8 (C) on agent readiness against Ripple-65B Preview's 53.3 (D), and leads in 2 of 4 scored categories. Ripple-65B Preview leads on risk and agent interface. 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
- Ripple-65B Preview: D 53.3, rank #135 of 160 open-weight models · https://www.anchorterminal.com/tools/ripple-65b-preview.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 Ahead on Reach, 60 against 45; Documentation and upkeep, 56 against 49.
- Ripple-65B Preview, good for Teams with Blackwell GPUs or a DGX Spark who want an Apache 2.0 coding model to try for terminal and agentic coding work, and can run the publisher's code to serve it. Ahead on Risk, 55 against 45; Agent interface, 75 against 60.

| Category | Ling-3.1-flash-1019 | Ripple-65B Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 45 |
| Risk (20%) | 45 | 55 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 56 | 49 |

| Fact (where they differ) | Ling-3.1-flash-1019 | Ripple-65B Preview |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Ricursive Intelligence |
| Licence | MIT | Apache-2.0 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Reach, Ling-3.1-flash-1019 +15: 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.); Ripple-65B Preview 45 (Memory 10 of 30, the smallest 4-bit build is Ricursive's NVFP4 at 57.2 GB, 68.7 GB with a fifth added, which is over 64 GB and fits our reference machine.)
- Agent interface, Ripple-65B Preview +15: 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.); Ripple-65B Preview 75 (Chat template 20, chat_template.jinja in the repository.)
- Risk, Ripple-65B Preview +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…); Ripple-65B Preview 55 (File safety 15, safetensors only, less 10 because the documented way to run it loads Ricursive's Python.)
- Documentation and upkeep, Ling-3.1-flash-1019 +7: 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…); Ripple-65B Preview 49 (Model card 14 of 20, no limitations and no knowledge cut-off.)