Context lengths are 1,048,576 tokens on Ox Alpha and 983,616 tokens on Qwen3.8 Max Preview.
Qwen3.8 Max PreviewDeveloped by Stealth, Ox Alpha is a reasoning model designed for coding, sustained agentic work, and demanding production workloads. With a massive context length of 1,048,576 tokens, it is ideally suited for long-horizon software engineering and complex reasoning. The model excels at supporting advanced workflows that combine text with other data.
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Ox Alpha accepts 1,048,576 and Qwen3.8 Max Preview accepts 983,616 input tokens.
Ox Alpha accepts text and image input and supports reasoning, tool calling and long context; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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.
Related model match-ups readers also look at.
AIHubMix