# DeepSeek-V4-Flash-0731 vs Granite 4.2 30B (slim)

> DeepSeek-V4-Flash-0731 and Granite 4.2 30B score within a point of each other for open-weight models you run yourself, 61.9 and 61 out of 100. 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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DeepSeek-V4-Flash-0731 and Granite 4.2 30B score within a point of each other on agent readiness, 61.9 (C) and 61 (C). Granite 4.2 30B leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- 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
- Granite 4.2 30B: C 61, rank #65 of 160 open-weight models · https://www.anchorterminal.com/tools/granite-4-2-30b.min.md
- 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
- Granite 4.2 30B, good for Agents that want a documented, signed, Apache 2.0 reasoning model with tool calling on a 24 GB card Ahead on Reach, 90 against 70; Risk, 55 against 50; Agent interface, 85 against 75; Documentation and upkeep, 87 against 38.

| Category | DeepSeek-V4-Flash-0731 | Granite 4.2 30B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 90 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 38 | 87 |

| Fact (where they differ) | DeepSeek-V4-Flash-0731 | Granite 4.2 30B |
| --- | --- | --- |
| Vendor | DeepSeek | IBM |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-07-31 | 2026-09-04 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, Granite 4.2 30B +49: 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.); Granite 4.2 30B 87 (Model card 17, Intended use (best for), limitations (ethical considerations and limitations), architecture, parameters (30B), context length (128K native) and 1…)
- Reach, Granite 4.2 30B +20: 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…); Granite 4.2 30B 90 (Memory 25, IBM's own 4-bit MLX build granite-4.2-30b-q4-mlx is 16.47 GB, and 16.47 GB × 1.2 = 19.8 GB, which fits 24 GB but not 16 GB.)
- Agent interface, Granite 4.2 30B +10: DeepSeek-V4-Flash-0731 75 (Chat template 10, there is no Jinja template and the format is given as Python to run.); Granite 4.2 30B 85 (Chat template 20, chat_template.jinja in the repository, with roles, tools, tool responses, the thinking switch and low effort.)
- Risk, Granite 4.2 30B +5: 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…); Granite 4.2 30B 55 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)