DeepSeek V3 0324 vs Gemini 3 Pro
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 Pro at 2,000,000 tokens
- · DeepSeek V3 0324: One of the cheapest models with serious coding quality
- · Gemini 3 Pro: 2M token context — largest window among top-tier models
Spec comparison
| Spec | DeepSeek V3 0324 | Gemini 3 Pro |
|---|---|---|
| Provider | deepseek | |
| Input per 1M tokens | $0.27 / 1M | $1.25 / 1M |
| Output per 1M tokens | $1.12 / 1M | $5.00 / 1M |
| Context window | 128,000 tok | 2,000,000 tok |
| Max output | 8,192 tok | 65,536 tok |
| Knowledge cutoff | — | 2025-11 |
| Vision | ||
| Audio | ||
| 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
Gemini 3 Pro — strengths
- +2M token context — largest window among top-tier models
- +True multimodal input: video, audio, image, text
- +Very strong on structured output and JSON-schema enforcement
DeepSeek V3 0324 — weaknesses
- −Compliance concerns for some EU/US enterprise contexts
- −Knowledge cutoff stronger on Chinese sources than western ones
Gemini 3 Pro — weaknesses
- −Code generation slightly behind Claude Sonnet 4.6 and GPT-5.4
- −At very long contexts, latency becomes significant