DeepSeek V3.2 vs GPT-5
Open-weights cost killer versus closed-weights frontier quality.
Cheapest
DeepSeek V3.2
$0.28 / 1M tok
Highest quality
GPT-5
9.2 / 10
Best V-Index
DeepSeek V3.2
28.93
| Dimension | DeepSeek V3.2 | GPT-5 |
|---|---|---|
| Vendor | DeepSeek | OpenAI |
| Input price ($ / 1M tok) | $0.28 | $2.50 |
| Quality (1–10) | 8.1 | 9.2 |
| V-Index (Quality ÷ Price) | 28.93 | 3.68 |
| reasoning precision | High | High |
| coding precision | High | High |
| creative precision | Medium | High |
| factual precision | Medium | High |
| summarization precision | High | High |
| extraction precision | High | High |
Verdict
For raw value-per-token, DeepSeek V3.2 wins on V-Index (28.93 vs 3.68). For absolute quality on reasoning-heavy work, GPT-5 is the safer pick. Run your real prompt through the auditor below to see which one wins for your specific workload.
Scaling Roadmap
To scale your prompt engineering workflow: 1. Audit (1-2 days) to identify the optimal model. 2. Implement via API (3-5 days) using the chosen model. 3. Monitor V-Index drift (ongoing) as new models release.
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