Grok 4 vs Llama 3.3 70B Instruct
Direct comparison between xai and meta for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Llama 3.3 70B Instruct
- · Longer context window: Grok 4 at 256,000 tokens
- · Grok 4: Only top-tier model with direct access to X realtime data
- · Llama 3.3 70B Instruct: Open weights available — no vendor lock-in
Spec comparison
| Spec | Grok 4 | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | xai | meta |
| Input per 1M tokens | $3.00 / 1M | $0.72 / 1M |
| Output per 1M tokens | $15.00 / 1M | $0.72 / 1M |
| Context window | 256,000 tok | 128,000 tok |
| Max output | 16,384 tok | 4,096 tok |
| Knowledge cutoff | — | 2023-12 |
| Vision | ||
| Tool calling | ||
| Reasoning |
Grok 4 — strengths
- +Only top-tier model with direct access to X realtime data
- +Strong reasoning, competitive with o1/o3 on math benchmarks
- +Less refusal bias on political or controversial topics
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
Grok 4 — weaknesses
- −Code generation behind Sonnet 4.6 and GPT-5.4
- −Weaker structured-output guarantees than OpenAI/Anthropic
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- −Knowledge cutoff December 2023 — outdated on recent facts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