DeepSeek V3 0324 vs GPT 5.4 Mini
Direct comparison between deepseek and openai for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: DeepSeek V3 0324
- · Longer context window: GPT 5.4 Mini at 400,000 tokens
- · DeepSeek V3 0324: One of the cheapest models with serious coding quality
- · GPT 5.4 Mini: Fraction of GPT-5.4 cost with very similar tool-use quality
Spec comparison
| Spec | DeepSeek V3 0324 | GPT 5.4 Mini |
|---|---|---|
| Provider | deepseek | openai |
| Input per 1M tokens | $0.27 / 1M | $0.75 / 1M |
| Output per 1M tokens | $1.12 / 1M | $4.50 / 1M |
| Context window | 128,000 tok | 400,000 tok |
| Max output | 8,192 tok | 16,384 tok |
| Knowledge cutoff | — | 2026-01 |
| Vision | ||
| Tool calling | ||
| JSON mode | ||
| Structured output |
DeepSeek V3 0324 — strengths
- +One of the cheapest models with serious coding quality
- +MoE architecture — low active parameters per token
- +Solid on math, comparable to western mid-tier models
GPT 5.4 Mini — strengths
- +Fraction of GPT-5.4 cost with very similar tool-use quality
- +Low latency — good for realtime chat and inline completion
- +Same 400k context window as the full-size model
DeepSeek V3 0324 — weaknesses
- −Compliance concerns for some EU/US enterprise contexts
- −Knowledge cutoff stronger on Chinese sources than western ones
GPT 5.4 Mini — weaknesses
- −No dedicated reasoning mode — complex math degrades
- −On very long tool-call chains, drift detection is weaker