Output tokens cost $30.00 per million on gpt-5.5 and $5.07 per million on qwen3.8-max. Input tokens cost $5.00 per million on gpt-5.5 and $1.69 per million on qwen3.8-max. Cached input tokens are billed at $0.50 per million on gpt-5.5 and $0.17 per million on qwen3.8-max. Context windows are 1,050,000 tokens on gpt-5.5 and 991,000 tokens on qwen3.8-max. First-token latency measured on AIHubMix is 5.4s on gpt-5.5 and 3.5s on qwen3.8-max. Measured output throughput is 49.1 tokens/s on gpt-5.5 and 37.1 tokens/s on qwen3.8-max. On the LMArena coding leaderboard gpt-5.5 scores 1508 and qwen3.8-max scores 1530.
gpt-5.5
qwen3.8-maxGPT-5.5 raises the baseline for complex production workflows. It’s a strong fit for coding use cases, tool-heavy agents, grounded assistants, long-context retrieval, product-spec-to-plan workflows, and customer-facing workflows where execution quality and response polish are critical.
Qwen 3.8 Max(qwen3.8-max) is Alibaba Cloud’s flagship native vision-language model, built on a 2.4-trillion-parameter Mixture-of-Experts (MoE) architecture and supporting context windows of up to 1 million tokens. It is well suited for complex multimodal understanding, advanced reasoning, software development, agentic workflows, and long-context processing. At a similar price to Qwen3.7-Max, Qwen3.8-Max delivers significant improvements in reasoning, coding, and agent capabilities, with overall performance comparable to today’s leading models.
Prices are per million tokens. Latency 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.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
qwen3.8-max: $5.07/M output tokens; gpt-5.5: $30.00/M. Use the cost calculator above to estimate your own workload.
qwen3.8-max: 1530; gpt-5.5: 1508 (LMArena coding leaderboard).
qwen3.8-max: 3.5s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gpt-5.5 accepts 1,050,000 and qwen3.8-max accepts 991,000 input tokens. Maximum output per request is 128,000 tokens on gpt-5.5 and 128,000 tokens on qwen3.8-max.
gpt-5.5 at 49.1 tokens/s and qwen3.8-max at 37.1 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
gpt-5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling; qwen3.8-max accepts text 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.
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