# Cola2 vs InternVL3.5-GPT-OSS-20B-A4B-Preview (slim)

> InternVL3.5-GPT-OSS-20B-A4B-Preview scores 53.2 (D) 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-internvl3-5-gpt-oss-20b-a4b-preview.md (~10,050 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-internvl3-5-gpt-oss-20b-a4b-preview.json · canonical https://www.anchorterminal.com/compare/cola2-vs-internvl3-5-gpt-oss-20b-a4b-preview
- 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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InternVL3.5-GPT-OSS-20B-A4B-Preview scores 53.2 (D) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. 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
- InternVL3.5-GPT-OSS-20B-A4B-Preview: D 53.2, rank #136 of 160 open-weight models · https://www.anchorterminal.com/tools/internvl3-5-gpt-oss-20b-a4b-preview.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study Ahead on Documentation and upkeep, 58 against 28.
- InternVL3.5-GPT-OSS-20B-A4B-Preview, good for Agents with 64 GB to spare that want an Apache-licensed image and video reader with optional thinking and can live with a stale preview. Ahead on Reach, 65 against 25; Risk, 55 against 40; Agent interface, 45 against 20.

| Category | Cola2 | InternVL3.5-GPT-OSS-20B-A4B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 65 |
| Risk (20%) | 40 | 55 |
| Agent interface (10%) | 20 | 45 |
| Documentation and upkeep (10%) | 58 | 28 |

| Fact (where they differ) | Cola2 | InternVL3.5-GPT-OSS-20B-A4B-Preview |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | OpenGVLab (Shanghai AI Laboratory) |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0; a merge of openai/gpt-oss-20b (Apache 2.0 with OpenAI's usage policy) and OpenGVLab/InternViT-300M-448px-V2_5 (MIT) |
| Last release | 2026-11-06 | 2025-09-08 |
| Agent reviews | none | 1.8/5 (4) |

Why the edge:
- Reach, InternVL3.5-GPT-OSS-20B-A4B-Preview +40: 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.); InternVL3.5-GPT-OSS-20B-A4B-Preview 65 (Memory 15 of 30, the only builds are BF16 at 42.5 GB by the repository's safetensors index, or 51 GB with a fifth added, which fits 64 GB.)
- Documentation and upkeep, Cola2 +30: 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…); InternVL3.5-GPT-OSS-20B-A4B-Preview 28 (Model card 8 of 20, the family card misses limitations, context, languages and a cut-off.)
- Agent interface, InternVL3.5-GPT-OSS-20B-A4B-Preview +25: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); InternVL3.5-GPT-OSS-20B-A4B-Preview 45 (Chat template 20, a Jinja file in the repository, though it doesn't match the tokenizer.)
- Risk, InternVL3.5-GPT-OSS-20B-A4B-Preview +15: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); InternVL3.5-GPT-OSS-20B-A4B-Preview 55 (File safety 25, safetensors only and no code in the repository.)