Output tokens cost $0.45 per million on DeepSeek V3.2 and $1.01 per million on Qwen3.8 Max Preview. Input tokens cost $0.30 per million on DeepSeek V3.2 and $0.34 per million on Qwen3.8 Max Preview. Cached input tokens are billed at $0.03 per million on DeepSeek V3.2 and $0.03 per million on Qwen3.8 Max Preview. Context lengths are 128,000 tokens on DeepSeek V3.2 and 983,616 tokens on Qwen3.8 Max Preview. Time to first token (TTFT) measured on AIHubMix is 2.0s on DeepSeek V3.2 and 2.4s on Qwen3.8 Max Preview. Measured output throughput is 30.8 tok/s on DeepSeek V3.2 and 48.1 tok/s on Qwen3.8 Max Preview. On the LMArena coding leaderboard DeepSeek V3.2 scores 1470 and Qwen3.8 Max Preview scores 1520.
DeepSeek V3.2
Qwen3.8 Max PreviewDeepSeek-V3.2 is an efficient large language model equipped with DeepSeek Sparse Attention and reinforced reasoning performance, but its core strength lies in powerful agentic capabilities—enabled by large-scale task-synthesis that tightly integrates reasoning with real-world tool use, delivering robust, compliant, and generalizable agent behaviour. Users can toggle deeper reasoning through the reasoning_enabled switch.
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.
DeepSeek V3.2: $0.45/M output tokens; Qwen3.8 Max Preview: $1.01/M. Use the cost calculator above to estimate your own workload.
Qwen3.8 Max Preview: 1520; DeepSeek V3.2: 1470 (LMArena coding leaderboard).
DeepSeek V3.2: 2.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek V3.2 accepts 128,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 64,000 tokens on DeepSeek V3.2 and 131,072 tokens on Qwen3.8 Max Preview.
Qwen3.8 Max Preview at 48.1 tok/s and DeepSeek V3.2 at 30.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek V3.2 accepts text input and supports tool calling, function calling, structured outputs and thinking; 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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