Side-by-side technical and economic comparison between Meta / Together's Llama 4 Maverick (400B) — Together AI and Cohere's Command R+ (08-2024).
• Llama 4 Maverick (400B) — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
• Command R+ (08-2024): Classified as a Legacy Reference model (Tracked Legacy (Predecessor to Command A)).
| Metric | Llama 4 Maverick (400B) — Together AI | Command R+ (08-2024) | Advantage |
|---|---|---|---|
| Provider Organization | Meta / Together | Cohere | — |
| Standard Input / 1M | $0.27 | $2.50 | Llama 4 Maverick (400B) — Together AI (89% lower) |
| Cached Input / 1M | None | $0.25 | Llama 4 Maverick (400B) — Together AI lower |
| Output / 1M | $0.85 | $10.00 | Llama 4 Maverick (400B) — Together AI lower |
| Context Window | 1M | 128k | Llama 4 Maverick (400B) — Together AI (1M) |
| Max Generation Tokens | 16.4k | 4.1k | Llama 4 Maverick (400B) — Together AI |
| Tokenizer Family | Meta Llama 3/4 Tiktoken (128k vocabulary) | Cohere BPE (~256k vocabulary) | — |
Opt for Llama 4 Maverick (400B) — Together AI when your engineering requirements prioritize Meta / Together's ecosystem, specific tokenizer efficiencies (Calibrated Llama 3 Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $0.27/M input rate.
Opt for Command R+ (08-2024) when looking for Cohere's tooling integration, specific context window depth (128k tokens), or when output generation volume favors its $10/M rate.