# Cola2 vs SmolLM3-3B (slim)

> SmolLM3-3B scores 61 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cola2-vs-smollm3-3b.md (~8,700 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-smollm3-3b.json · canonical https://www.anchorterminal.com/compare/cola2-vs-smollm3-3b
- 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)

SmolLM3-3B scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in every scored category. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.min.md
- SmolLM3-3B: C 61, rank #55 of 160 open-weight models · https://www.anchorterminal.com/tools/smollm3-3b.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study
- SmolLM3-3B, good for Agents that want a small, fully transparent tool-calling cousin on a laptop, CPU or edge device Ahead on Reach, 85 against 25; Risk, 65 against 40; Agent interface, 80 against 20; Documentation and upkeep, 74 against 58.

| Category | Cola2 | SmolLM3-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 85 |
| Risk (20%) | 40 | 65 |
| Agent interface (10%) | 20 | 80 |
| Documentation and upkeep (10%) | 58 | 74 |

| Fact (where they differ) | Cola2 | SmolLM3-3B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Hugging Face |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |
| Last release | 2026-11-06 | 2025-09-10 |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Reach, SmolLM3-3B +60: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.); SmolLM3-3B 85 (Memory 30, the smallest 4-bit build Hugging Face publishes is its own ONNX q4f16 at 2.1 GB, about 2.5 GB with the fifth added, and the full BF16 files that the…)
- Agent interface, SmolLM3-3B +60: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); SmolLM3-3B 80 (Chat template 20, a Jinja file in the repository.)
- Risk, SmolLM3-3B +25: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); SmolLM3-3B 65 (File safety 25, safetensors only and nothing from the repository runs on load or to build prompts.)
- Documentation and upkeep, SmolLM3-3B +16: Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…); SmolLM3-3B 74 (Model card 14, it covers limitations, architecture, parameters, context and languages but has no intended-use section and leaves the June 2025 cut-off to the ch…)
