# Cola2 vs DeepSeek-V4-Flash-0731 (slim)

> DeepSeek-V4-Flash-0731 scores 61.9 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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DeepSeek-V4-Flash-0731 scores 61.9 (C) 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
- DeepSeek-V4-Flash-0731: C 61.9, rank #33 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.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 38.
- DeepSeek-V4-Flash-0731, good for Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context Ahead on Reach, 70 against 25; Risk, 50 against 40; Agent interface, 75 against 20.

| Category | Cola2 | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 70 |
| Risk (20%) | 40 | 50 |
| Agent interface (10%) | 20 | 75 |
| Documentation and upkeep (10%) | 58 | 38 |

| Fact (where they differ) | Cola2 | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | DeepSeek |
| Licence | None stated for the weights (the code is Apache 2.0) | MIT |
| Last release | 2026-11-06 | 2026-07-31 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Agent interface, DeepSeek-V4-Flash-0731 +55: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); DeepSeek-V4-Flash-0731 75 (Chat template 10, there is no Jinja template and the format is given as Python to run.)
- Reach, DeepSeek-V4-Flash-0731 +45: 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.); DeepSeek-V4-Flash-0731 70 (Memory 5, because the smallest build of 4-bit or better from a runtime's own library is LM Studio's MXFP4 GGUF at 156.4 GB, which with a fifth added needs 187.7…)
- Documentation and upkeep, Cola2 +20: 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…); DeepSeek-V4-Flash-0731 38 (Model card 8, the card and the DSpark card it names give architecture, parameters and context, with intended use, limitations, languages and cut-off missing.)
- Risk, DeepSeek-V4-Flash-0731 +10: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); DeepSeek-V4-Flash-0731 50 (File safety 15, safetensors only, less 10 because prompts are built by running DeepSeek's encoding_dsv4.py from the repository and the card's serving commands p…)