Side-by-side technical and economic comparison between OpenAI's OpenAI o4-mini and Meta / Together's Llama 3.1 405B — Together AI.
• Llama 3.1 405B — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
| Metric | OpenAI o4-mini | Llama 3.1 405B — Together AI | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | Meta / Together | — |
| Standard Input / 1M | $1.10 | $3.50 | OpenAI o4-mini (69% lower) |
| Cached Input / 1M | $0.275 | None | OpenAI o4-mini lower |
| Output / 1M | $4.40 | $3.50 | Llama 3.1 405B — Together AI lower |
| Context Window | 200k | 128k | OpenAI o4-mini (200k) |
| Max Generation Tokens | 64k | 4.1k | OpenAI o4-mini |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | Meta Llama 3 Tiktoken BPE (~128k vocabulary) | — |
Opt for OpenAI o4-mini when your engineering requirements prioritize OpenAI's ecosystem, specific tokenizer efficiencies (Exact BPE (o200k_base)), or when your expected prompt-to-completion ratios favor its $1.1/M input rate.
Opt for Llama 3.1 405B — Together AI when looking for Meta / Together's tooling integration, specific context window depth (128k tokens), or when output generation volume favors its $3.5/M rate.