Output tokens cost $1.60 per million on GPT 4.1 Mini and $1.01 per million on Qwen3.8 Max Preview. Input tokens cost $0.40 per million on GPT 4.1 Mini and $0.34 per million on Qwen3.8 Max Preview. Cached input tokens are billed at $0.10 per million on GPT 4.1 Mini and $0.03 per million on Qwen3.8 Max Preview. Context lengths are 1,047,576 tokens on GPT 4.1 Mini and 983,616 tokens on Qwen3.8 Max Preview. Time to first token (TTFT) measured on AIHubMix is 0.7s on GPT 4.1 Mini and 2.4s on Qwen3.8 Max Preview. Measured output throughput is 58.0 tok/s on GPT 4.1 Mini and 48.1 tok/s on Qwen3.8 Max Preview. On the LMArena coding leaderboard GPT 4.1 Mini scores 1434 and Qwen3.8 Max Preview scores 1520.
GPT 4.1 Mini
Qwen3.8 Max PreviewLightweight, high-performance model with million-token context and near-flagship-level encoding and image understanding capabilities, while reducing costs by 83%. It is suitable for rapid development and small to medium-sized applications. The automatic caching mechanism provides a 75% cost reduction on cache hits.
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.
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 Preview: $1.01/M output tokens; GPT 4.1 Mini: $1.60/M. Use the cost calculator above to estimate your own workload.
Qwen3.8 Max Preview: 1520; GPT 4.1 Mini: 1434 (LMArena coding leaderboard).
GPT 4.1 Mini: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GPT 4.1 Mini accepts 1,047,576 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 32,768 tokens on GPT 4.1 Mini and 131,072 tokens on Qwen3.8 Max Preview.
GPT 4.1 Mini at 58.0 tok/s and Qwen3.8 Max Preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GPT 4.1 Mini accepts text and image input and supports tool calling, function calling, structured outputs 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.
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