GPT 5.4 Mini 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 Mini at 400,000 tokens
- · GPT 5.4 Mini: Fraction of GPT-5.4 cost with very similar tool-use quality
- · Llama 3.3 70B Instruct: Open weights available — no vendor lock-in
Spec comparison
| Spec | GPT 5.4 Mini | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | openai | meta |
| Input per 1M tokens | $0.75 / 1M | $0.72 / 1M |
| Output per 1M tokens | $4.50 / 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 |
GPT 5.4 Mini — strengths
- +Fraction of GPT-5.4 cost with very similar tool-use quality
- +Low latency — good for realtime chat and inline completion
- +Same 400k context window as the full-size model
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 Mini — weaknesses
- −No dedicated reasoning mode — complex math degrades
- −On very long tool-call chains, drift detection is weaker
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- −Knowledge cutoff December 2023 — outdated on recent facts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