GPT 5.4 vs Llama 3.3 70B Instruct
Direct comparison between openai and meta for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Llama 3.3 70B Instruct
- · Longer context window: GPT 5.4 at 400,000 tokens
- · GPT 5.4: Better tool-use accuracy than GPT-5.3 with shorter outputs
- · Llama 3.3 70B Instruct: Open weights available — no vendor lock-in
Spec comparison
| Spec | GPT 5.4 | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | openai | meta |
| Input per 1M tokens | $2.50 / 1M | $0.72 / 1M |
| Output per 1M tokens | $15.00 / 1M | $0.72 / 1M |
| Context window | 400,000 tok | 128,000 tok |
| Max output | 16,384 tok | 4,096 tok |
| Knowledge cutoff | 2026-01 | 2023-12 |
| Vision | ||
| Tool calling | ||
| JSON mode | ||
| Structured output | ||
| Reasoning |
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
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
GPT 5.4 — weaknesses
- −Pricier per token than Sonnet 4.6 at comparable coding quality
- −Reasoning mode noticeably increases latency over standard calls
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- −Knowledge cutoff December 2023 — outdated on recent facts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