DeepSeek V3 0324 vs Llama 3.3 70B Instruct
Direct comparison between deepseek and meta for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: DeepSeek V3 0324
- · DeepSeek V3 0324: One of the cheapest models with serious coding quality
- · Llama 3.3 70B Instruct: Open weights available — no vendor lock-in
Spec comparison
| Spec | DeepSeek V3 0324 | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | deepseek | meta |
| Input per 1M tokens | $0.27 / 1M | $0.72 / 1M |
| Output per 1M tokens | $1.12 / 1M | $0.72 / 1M |
| Context window | 128,000 tok | 128,000 tok |
| Max output | 8,192 tok | 4,096 tok |
| Knowledge cutoff | — | 2023-12 |
| Tool calling | ||
| JSON mode |
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
Llama 3.3 70B Instruct — strengths
- +Open weights available — no vendor lock-in
- +Very cheap per token, widely available across providers
- +Solid all-rounder for classification and simple generation
DeepSeek V3 0324 — weaknesses
- −Compliance concerns for some EU/US enterprise contexts
- −Knowledge cutoff stronger on Chinese sources than western ones
Llama 3.3 70B Instruct — weaknesses
- −Knowledge cutoff December 2023 — outdated on recent facts
- −No native vision or audio input
- −Behind Claude Sonnet and GPT-5 across nearly all benchmarks