# Ling-3.0-tiny vs MiMo-V2.6-Flash-RL (slim)

> MiMo-V2.6-Flash-RL scores 61 (C) to Ling-3.0-tiny's 56.2 (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-3-0-tiny-vs-mimo-v2-6-flash-rl.md (~9,450 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-mimo-v2-6-flash-rl.json · canonical https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-mimo-v2-6-flash-rl
- 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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MiMo-V2.6-Flash-RL scores 61 (C) on agent readiness against Ling-3.0-tiny's 56.2 (C), and leads in 2 of 4 scored categories. Ling-3.0-tiny leads on reach and risk. Both do open-weight models you run yourself.

- Ling-3.0-tiny: C 56.2, rank #117 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- MiMo-V2.6-Flash-RL: C 61, rank #75 of 160 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-flash-rl.min.md
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 95 against 65; Risk, 50 against 45.
- MiMo-V2.6-Flash-RL, good for Teams with a GPU server, or a provider account, that want an open agent model with a very long context Ahead on Agent interface, 85 against 60.

| Category | Ling-3.0-tiny | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 65 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 56 | 59 |

| Fact (where they differ) | Ling-3.0-tiny | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Xiaomi (MiMo team) |
| Licence | MIT | MIT (metadata only, no LICENSE file) |
| Last release | 2026-08-31 | 2026-10-28 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, Ling-3.0-tiny +30: Ling-3.0-tiny 95 (Memory earns the full 30, since inclusionAI's own Q4_K_M GGUF is 4.8 GB, about 6 GB with a fifth added.); MiMo-V2.6-Flash-RL 65 (Memory 5, the smallest build at 4 bits or better is ggml-org's MXFP4 GGUF, 168.93 GB with its projector, and 168.93 GB × 1.2 = 202.7 GB, within 256 GB.)
- Agent interface, MiMo-V2.6-Flash-RL +25: Ling-3.0-tiny 60 (Chat template 20, a Jinja file in the repository.); MiMo-V2.6-Flash-RL 85 (Chat template 20, chat_template.jinja in the repository (3,868 characters), with a copy in tokenizer_config.json.)
- Risk, Ling-3.0-tiny +5: Ling-3.0-tiny 50 (File safety gets 15, safetensors and GGUF only, but the card's vLLM command runs the repository's config code with --trust-remote-code.); MiMo-V2.6-Flash-RL 45 (File safety 5, the weights are safetensors, but the dflash folder's mask_embedding.pt is a pickle beside them (15).)