Models

Qwen3 Coder Next vs Qwen3.8 Max Preview

Output tokens cost $0.55 per million on Qwen3 Coder Next and $1.01 per million on Qwen3.8 Max Preview. Input tokens cost $0.14 per million on Qwen3 Coder Next and $0.34 per million on Qwen3.8 Max Preview. Cached input tokens are billed at $0.14 per million on Qwen3 Coder Next and $0.03 per million on Qwen3.8 Max Preview. Context lengths are 2,000,000 tokens on Qwen3 Coder Next and 983,616 tokens on Qwen3.8 Max Preview. Time to first token (TTFT) measured on AIHubMix is 0.5s on Qwen3 Coder Next and 2.4s on Qwen3.8 Max Preview. Measured output throughput is 15.7 tok/s on Qwen3 Coder Next and 48.1 tok/s on Qwen3.8 Max Preview.

QwenQwen3 Coder NextQwenQwen3.8 Max Preview
Qwen logo
Qwen3 Coder Next
Qwen · text → text

The Qwen3 series is a next-generation code-generation model with results close to Qwen3-Coder-Plus while offering superior performance. The model is optimized for repository-level understanding, supports multi-turn tool interactions, and improves compatibility with agentic coding tools.

Input$0.14 /M
Output$0.55 /M
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image → text

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.

Input$0.34 /M
Output$1.01 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Qwen3 Coder Next
Qwen3.8 Max Preview
Input /M
$0.14
$0.34
Output /M
$0.55
$1.01
Cache read /M
$0.14
$0.03
Context length
2,000,000
983,616
Max output
64,000
131,072
Time to First Token
0.5 s
2.4 s
Throughput
15.7 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
toolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
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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.

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Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

qwen3-coder-nextqwen3.8-max-preview

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3 Coder Next
$16.44 /mo
Qwen3.8 Max Preview
$35.49 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Qwen3 Coder Next, Qwen3.8 Max Preview?

Qwen3 Coder Next: $0.55/M output tokens; Qwen3.8 Max Preview: $1.01/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Qwen3 Coder Next: 0.5s 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?

Qwen3 Coder Next accepts 2,000,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 64,000 tokens on Qwen3 Coder Next and 131,072 tokens on Qwen3.8 Max Preview.

Which one generates tokens faster?

Qwen3.8 Max Preview at 48.1 tok/s and Qwen3 Coder Next at 15.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Qwen3 Coder Next accepts text input and supports tool calling, 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 Qwen3 Coder Next 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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