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$1 /M
Output$6 /M
Cache read$0.1 /M
← ModelsGPT 5.6 Luna
Llama 4 Scout
GPT 5.6 Luna vs Llama 4 Scout
Compare GPT 5.6 Luna from OpenAI and Llama 4 Scout 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 Scout+ Add model · 2/4
Llama 4 Scout
Llama · text, image → text
Llama 4 Scout is a highly efficient Mixture-of-Experts (MoE) model from Meta, activating 17B out of 109B total parameters per inference. It natively supports multimodal input (text and image) and multilingual output (text and code) across 12 languages. Designed for assistant-style interaction and visual reasoning, Scout features a massive 10-million-token context window. It is instruction-tuned for tasks like multilingual chat and image understanding and is released under the Llama 4 Community License for local or commercial deployment.
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 Scout
Input /M
$1
$0.2
Output /M
$6
$0.2
Cache read /M
$0.1
-
Context length
1,050,000
NaN
Max output
128,000
0
Time to First Token
2.2 s
0.9 s
Throughput
88.4 tok/s
147.6 tok/s
Modalities
textimage
textimage
Supported Parameters
toolsthinkingstructured outputs
toolsfunction callingstructured outputs
API Formats
chat_completions · responses
Released
-
-
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-scout
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-scout
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Llama 4 Scout
$15.00 /mo
GPT 5.6 Luna
$150 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.6 Luna, Llama 4 Scout?
Llama 4 Scout: $0.2/M output tokens; GPT 5.6 Luna: $6/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Llama 4 Scout: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
Llama 4 Scout at 147.6 tok/s and GPT 5.6 Luna at 88.4 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 Scout accepts text and image input and supports tool calling, function calling and structured outputs.
Can I call GPT 5.6 Luna and Llama 4 Scout 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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