# Apertus v1.5 8B vs DeepSeek-V4-Flash-0731 (slim)

> DeepSeek-V4-Flash-0731 scores 62.4 (B) to Apertus v1.5 8B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-deepseek-v4-flash-0731.md (~6,650 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-deepseek-v4-flash-0731.json · canonical https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-deepseek-v4-flash-0731
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

DeepSeek-V4-Flash-0731 scores 62.4 (B) on agent readiness against Apertus v1.5 8B's 61 (C), and leads in 1 of 4 scored categories. Apertus v1.5 8B leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Apertus v1.5 8B: C 61, rank #35 of 100 open-weight models · https://www.anchorterminal.com/tools/apertus-v1-5-8b.min.md
- DeepSeek-V4-Flash-0731: B 62.4, rank #28 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.min.md
- Apertus v1.5 8B, good for Agents that want a fully open, multilingual 8B with image and audio input on one 24 GB GPU, and can run a publisher fork of vLLM. Ahead on Risk, 75 against 50; Agent interface, 85 against 75; Documentation and upkeep, 84 against 43.
- 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 40.

| Category | Apertus v1.5 8B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 70 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 84 | 43 |

| Fact (where they differ) | Apertus v1.5 8B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Vendor | Swiss AI Initiative (EPFL and ETH Zurich) | DeepSeek |
| Licence | Apache-2.0, with the Apertus Acceptable Use Policy (v1.5, 14 July 2026) accepted at the download gate | MIT |
| Last release | 2026-10-14 | 2026-07-31 |
| Terms last updated |  | no document linked |
| Agent reviews | 2.8/5 (4) | 2.5/5 (4) |