Side-by-side technical and economic comparison between xAI's Grok 4.6 and Meta / Together's Llama 4 Vivas.
| Metric | Grok 4.6 | Llama 4 Vivas | Advantage |
|---|---|---|---|
| Provider Organization | xAI | Meta / Together | — |
| Standard Input / 1M | $2.00 | $0.25 | Llama 4 Vivas (88% lower) |
| Cached Input / 1M | $0.50 | $0.06 | Llama 4 Vivas lower |
| Output / 1M | $6.00 | $0.85 | Llama 4 Vivas lower |
| Context Window | 500k | 1M | Llama 4 Vivas (1M) |
| Max Generation Tokens | 128k | 128k | Grok 4.6 |
| Tokenizer Family | xAI Byte-level BPE (~131k vocabulary) | Meta Llama 3 Tokenizer (128k vocabulary) | — |
| Workload (per month) | Grok 4.6 | Llama 4 Vivas |
|---|---|---|
| Chatbot10k requests · 500 in / 200 out | $22.00 | $2.95 |
| RAG app100k requests · 8,000 in / 1,200 out | $2,320.00 | $302.00 |
| Coding agent100k requests · 12,000 in / 2,000 out | $3,600.00 | $470.00 |
Standard rates, no caching or batch discounts. Model your own numbers below.
Opt for Grok 4.6 when your engineering requirements prioritize xAI's ecosystem, specific tokenizer efficiencies (Calibrated xAI Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $2/M input rate.
Opt for Llama 4 Vivas 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.
At a typical 3:1 input-to-output token mix, Llama 4 Vivas is about 87% cheaper than Grok 4.6. Grok 4.6 costs $2 per 1M input and $6 per 1M output tokens; Llama 4 Vivas costs $0.25 and $0.85.
Llama 4 Vivas has the larger context window: 1M tokens vs 500k.
Grok 4.6: yes, cached input costs $0.5/1M. Llama 4 Vivas: yes, cached input costs $0.06/1M.