GPT 5.6 Luna
OpenAI · text, image → text
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Input$0.2 /M
Output$1.2 /M
Cache read$0.02 /M
← ModelsGPT 5.6 Luna
Llama 4 Maverick
GPT 5.6 Luna vs Llama 4 Maverick
Compare GPT 5.6 Luna from OpenAI and Llama 4 Maverick from Llama on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT 5.6 LunaLlama 4 Maverick+ Add model · 2/4
Llama 4 Maverick
Llama · text, image → text
Llama 4 Maverick is a high-capacity Mixture-of-Experts (MoE) model from Meta, featuring 400B total parameters and 128 experts, while activating an efficient 17B parameters per inference. Engineered for peak performance, it excels at advanced multimodal tasks. Maverick natively supports text and image input, producing multilingual text and code. With a 1-million-token context window and instruction tuning, it is optimized for complex image reasoning and general-purpose assistant-like interactions. Released under the Llama 4 Community License, Maverick is ideal for research and commercial applications demanding state-of-the-art multimodal understanding and high throughput.
Input$0.2 /M
Output$0.2 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
GPT 5.6 Luna
Llama 4 Maverick
Input /M
$0.2
$0.2
Output /M
$1.2
$0.2
Cache read /M
$0.02
-
Context length
1,050,000
1,048,576
Max output
128,000
32,000
Time to First Token
5.0 s
0.1 s
Throughput
47.6 tok/s
97.8 tok/s
Modalities
textimage
textimage
Supported Parameters
toolsthinkingstructured outputs
toolsfunction callingstructured outputs
API Formats
chat_completions · responses
Released
July 9, 2026
April 5, 2025
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
gpt-5.6-lunallama-4-maverick
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
gpt-5.6-lunallama-4-maverick
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Llama 4 Maverick
$15.00 /mo
GPT 5.6 Luna
$30.00 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.6 Luna, Llama 4 Maverick?
Llama 4 Maverick: $0.2/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Llama 4 Maverick: 0.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
GPT 5.6 Luna accepts 1,050,000 and Llama 4 Maverick accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Luna and 32,000 tokens on Llama 4 Maverick.
Which one generates tokens faster?
Llama 4 Maverick at 97.8 tok/s and GPT 5.6 Luna at 47.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs; Llama 4 Maverick accepts text and image input and supports tool calling, function calling and structured outputs.
Can I call GPT 5.6 Luna and Llama 4 Maverick with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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