Side-by-side technical and economic comparison between OpenAI's GPT-6 Astra and Meta / Together's Llama 4 Maverick (400B) — Together AI.
• Llama 4 Maverick (400B) — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
| Metric | GPT-6 Astra | Llama 4 Maverick (400B) — Together AI | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | Meta / Together | — |
| Standard Input / 1M | $10.00 | $0.27 | Llama 4 Maverick (400B) — Together AI (97% lower) |
| Cached Input / 1M | $1.00 | None | Llama 4 Maverick (400B) — Together AI lower |
| Output / 1M | $50.00 | $0.85 | Llama 4 Maverick (400B) — Together AI lower |
| Context Window | 1.05M | 1M | GPT-6 Astra (1.05M) |
| Max Generation Tokens | 32k | 16.4k | GPT-6 Astra |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | Meta Llama 3/4 Tiktoken (128k vocabulary) | — |
Opt for GPT-6 Astra 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 $10/M input rate.
Opt for Llama 4 Maverick (400B) — Together AI when looking for Meta / Together's tooling integration, specific context window depth (1M tokens), or when output generation volume favors its $0.85/M rate.