Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
Grok 4.5 vs Jina Deepsearch V1
Output tokens cost $6.00 per million on Grok 4.5 and $0.05 per million on Jina Deepsearch V1. Input tokens cost $2.00 per million on Grok 4.5 and $0.05 per million on Jina Deepsearch V1. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.05 per million on Jina Deepsearch V1. Context lengths are 500,000 tokens on Grok 4.5 and 1,000,000 tokens on Jina Deepsearch V1. Time to first token (TTFT) measured on AIHubMix is 1.9s on Grok 4.5 and 0.8s on Jina Deepsearch V1. Measured output throughput is 26.7 tok/s on Grok 4.5 and 65.5 tok/s on Jina Deepsearch V1.
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.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Grok 4.5, Jina Deepsearch V1?
Jina Deepsearch V1: $0.05/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Jina Deepsearch V1: 0.8s 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?
Grok 4.5 accepts 500,000 and Jina Deepsearch V1 accepts 1,000,000 input tokens.
Which one generates tokens faster?
Jina Deepsearch V1 at 65.5 tok/s and Grok 4.5 at 26.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Jina Deepsearch V1 accepts text and image input and supports thinking, web search and deep search.
Can I call Grok 4.5 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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