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
Jina Deepsearch V1
GPT 5.6 Luna vs Jina Deepsearch V1
Compare GPT 5.6 Luna from OpenAI and Jina Deepsearch V1 from Jina AI 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 LunaJina Deepsearch V1+ Add model · 2/4
Jina Deepsearch V1
Jina AI · text, image → text
DeepSearch combines search, reading, and reasoning capabilities to pursue the best possible answer. It's fully compatible with OpenAI's Chat API format—just replace api.openai.com with aihubmix.com to get started. The stream will return the thinking process.
Input$0.05 /M
Output$0.05 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
GPT 5.6 Luna
Jina Deepsearch V1
Input /M
$0.2
$0.05
Output /M
$1.2
$0.05
Cache read /M
$0.02
-
Context length
1,050,000
1,000,000
Max output
128,000
0
Time to First Token
5.0 s
0.1 s
Throughput
47.6 tok/s
74.3 tok/s
Modalities
textimage
textimage
Supported Parameters
toolsthinkingstructured outputs
thinkingwebdeepsearch
API Formats
chat_completions · responses
Released
July 9, 2026
-
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-lunajina-deepsearch-v1
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-lunajina-deepsearch-v1
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Jina Deepsearch V1
$3.75 /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, Jina Deepsearch V1?
Jina Deepsearch V1: $0.05/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Jina Deepsearch V1: 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 Jina Deepsearch V1 accepts 1,000,000 input tokens.
Which one generates tokens faster?
Jina Deepsearch V1 at 74.3 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; Jina Deepsearch V1 accepts text and image input and supports thinking, web search and deep search.
Can I call GPT 5.6 Luna and Jina Deepsearch V1 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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