Seed-OSS is a series of open-source large language models developed by ByteDance's Seed team, designed specifically for powerful long-context processing, reasoning, agents, and general capabilities. Among this series, Seed-OSS-36B-Instruct is an instruction-tuned model with 36 billion parameters that natively supports ultra-long context lengths, enabling it to process massive documents or complex codebases in a single pass. This model is specially optimized for reasoning, code generation, and agent tasks (such as tool usage), while maintaining balanced and excellent general capabilities. A notable feature of this model is the "Thinking Budget" functionality, which allows users to flexibly adjust the inference length as needed, thereby effectively improving inference efficiency in practical applications.
ByteDance-Seed/Seed-OSS-36B-Instruct vs qwen3.8-max-preview
Output tokens cost $0.53 per million on ByteDance-Seed/Seed-OSS-36B-Instruct and $1.01 per million on qwen3.8-max-preview. Input tokens cost $0.20 per million on ByteDance-Seed/Seed-OSS-36B-Instruct and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.20 per million on ByteDance-Seed/Seed-OSS-36B-Instruct and $0.03 per million on qwen3.8-max-preview. Context lengths are 256,000 tokens on ByteDance-Seed/Seed-OSS-36B-Instruct and 983,616 tokens on qwen3.8-max-preview. Time to first token (TTFT) measured on AIHubMix is 2.8s on ByteDance-Seed/Seed-OSS-36B-Instruct and 2.4s on qwen3.8-max-preview. Measured output throughput is 36.9 tok/s on ByteDance-Seed/Seed-OSS-36B-Instruct and 48.1 tok/s on qwen3.8-max-preview.
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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
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Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: ByteDance-Seed/Seed-OSS-36B-Instruct, qwen3.8-max-preview?
ByteDance-Seed/Seed-OSS-36B-Instruct: $0.53/M output tokens; qwen3.8-max-preview: $1.01/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
qwen3.8-max-preview: 2.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
ByteDance-Seed/Seed-OSS-36B-Instruct accepts 256,000 and qwen3.8-max-preview accepts 983,616 input tokens. Maximum output per request is 32,000 tokens on ByteDance-Seed/Seed-OSS-36B-Instruct and 131,072 tokens on qwen3.8-max-preview.
Which one generates tokens faster?
qwen3.8-max-preview at 48.1 tok/s and ByteDance-Seed/Seed-OSS-36B-Instruct at 36.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
ByteDance-Seed/Seed-OSS-36B-Instruct accepts text and image input and supports function calling and structured outputs; qwen3.8-max-preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call ByteDance-Seed/Seed-OSS-36B-Instruct and qwen3.8-max-preview with the same API key?
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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