Output tokens cost $0.31 per million on deepseek-v4-flash and $5.07 per million on qwen3.8-max. Input tokens cost $0.15 per million on deepseek-v4-flash and $1.69 per million on qwen3.8-max. Cached input tokens are billed at $0.00 per million on deepseek-v4-flash and $0.17 per million on qwen3.8-max. Context windows are 1,000,000 tokens on deepseek-v4-flash and 991,000 tokens on qwen3.8-max. First-token latency measured on AIHubMix is 1.2s on deepseek-v4-flash and 3.5s on qwen3.8-max. Measured output throughput is 101.3 tokens/s on deepseek-v4-flash and 37.1 tokens/s on qwen3.8-max.
deepseek-v4-flash
qwen3.8-maxDeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
deepseek-v4-flash: $0.31/M output tokens; qwen3.8-max: $5.07/M. Use the cost calculator above to estimate your own workload.
deepseek-v4-flash: 1.2s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
deepseek-v4-flash accepts 1,000,000 and qwen3.8-max accepts 991,000 input tokens. Maximum output per request is 384,000 tokens on deepseek-v4-flash and 128,000 tokens on qwen3.8-max.
deepseek-v4-flash at 101.3 tokens/s and qwen3.8-max at 37.1 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
deepseek-v4-flash accepts text input and supports tool calling, function calling, structured outputs and thinking; 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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