GPT-5-Codex is a version of GPT-5 optimized for autonomous coding tasks in Codex or similar environments. It is only available in the Responses API, and the underlying model snapshots will be updated regularly. https://docs.aihubmix.com/en/api/Responses-API You can also use it in codex-cll; see https://docs.aihubmix.com/en/api/Codex-CLI for using codex-cll through Aihubmix.
GPT-5-Codex vs Grok 4.5
Output tokens cost $10.00 per million on GPT-5-Codex and $6.00 per million on Grok 4.5. Input tokens cost $1.25 per million on GPT-5-Codex and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.13 per million on GPT-5-Codex and $0.50 per million on Grok 4.5. Context lengths are 400,000 tokens on GPT-5-Codex and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 7.5s on GPT-5-Codex and 1.9s on Grok 4.5. Measured output throughput is 27.2 tok/s on GPT-5-Codex and 26.7 tok/s on Grok 4.5.
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.
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: GPT-5-Codex, Grok 4.5?
Grok 4.5: $6.00/M output tokens; GPT-5-Codex: $10.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Grok 4.5: 1.9s 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-Codex accepts 400,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 128,000 tokens on GPT-5-Codex and 500,000 tokens on Grok 4.5.
Which one generates tokens faster?
GPT-5-Codex at 27.2 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?
GPT-5-Codex accepts text and image input and supports thinking, tool calling, function calling and structured outputs; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
Can I call GPT-5-Codex and Grok 4.5 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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