meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 vs OpenAI: GPT-5.6 Luna
They cost about the same for input tokens: meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 $0.20 per M, OpenAI: GPT-5.6 Luna $0.20 per M. meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 is 1.5× cheaper for output tokens: meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 costs $0.80 per M and OpenAI: GPT-5.6 Luna costs $1.20 per M. About the same: meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 takes up to 1,048,576 tokens of context and OpenAI: GPT-5.6 Luna up to 1,050,000. meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 accepts image, text; OpenAI: GPT-5.6 Luna accepts file, image, text.
| meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 | OpenAI: GPT-5.6 Luna | |
|---|---|---|
| Model id | meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 | openai/gpt-5.6-luna |
| Input | $0.20 per M | $0.20 per M |
| Output | $0.80 per M | $1.20 per M |
| Context length | 1,048,576 tokens | 1,050,000 tokens |
| Accepts | image, text | file, image, text |
| Produces | text | text |
| Served by | deepinfra | openai |
Prices are the providers' list prices per million tokens, as of . Both run on your own provider key through one OpenAI-compatible endpoint, with no fee on the tokens.