DeepSeek V3 0324 vs GPT 5.4
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 at 400,000 tokens
- · DeepSeek V3 0324: One of the cheapest models with serious coding quality
- · GPT 5.4: Better tool-use accuracy than GPT-5.3 with shorter outputs
Spec comparison
| Spec | DeepSeek V3 0324 | GPT 5.4 |
|---|---|---|
| Provider | deepseek | openai |
| Input per 1M tokens | $0.27 / 1M | $2.50 / 1M |
| Output per 1M tokens | $1.12 / 1M | $15.00 / 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 | ||
| Reasoning |
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 — strengths
- +Better tool-use accuracy than GPT-5.3 with shorter outputs
- +Native vision for screenshots, charts, and documents
- +400k context — fits code repos and long conversations
DeepSeek V3 0324 — weaknesses
- −Compliance concerns for some EU/US enterprise contexts
- −Knowledge cutoff stronger on Chinese sources than western ones
GPT 5.4 — weaknesses
- −Pricier per token than Sonnet 4.6 at comparable coding quality
- −Reasoning mode noticeably increases latency over standard calls