DeepSeek V3 0324 vs Gemini 3 Flash
Direct comparison between deepseek and google for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: DeepSeek V3 0324
- · Longer context window: Gemini 3 Flash at 1,000,000 tokens
- · DeepSeek V3 0324: One of the cheapest models with serious coding quality
- · Gemini 3 Flash: 1M token context at mini-tier pricing
Spec comparison
| Spec | DeepSeek V3 0324 | Gemini 3 Flash |
|---|---|---|
| Provider | deepseek | |
| Input per 1M tokens | $0.27 / 1M | $0.50 / 1M |
| Output per 1M tokens | $1.12 / 1M | $3.00 / 1M |
| Context window | 128,000 tok | 1,000,000 tok |
| Max output | 8,192 tok | 65,536 tok |
| Knowledge cutoff | — | 2025-11 |
| Vision | ||
| Audio | ||
| 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
Gemini 3 Flash — strengths
- +1M token context at mini-tier pricing
- +Very low latency, ideal for realtime
- +Multimodal: image, audio, and video input
DeepSeek V3 0324 — weaknesses
- −Compliance concerns for some EU/US enterprise contexts
- −Knowledge cutoff stronger on Chinese sources than western ones
Gemini 3 Flash — weaknesses
- −Code quality clearly below Sonnet 4.6 and GPT-5.4-mini
- −Complex reasoning chains fail sooner than on Pro