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qwen3.7-flash vs qwen3.8-max

Output tokens cost $1.13 per million on qwen3.7-flash and $5.07 per million on qwen3.8-max. Input tokens cost $0.28 per million on qwen3.7-flash and $1.69 per million on qwen3.8-max. Cached input tokens are billed at $0.06 per million on qwen3.7-flash and $0.17 per million on qwen3.8-max. Context windows are 991,000 tokens on qwen3.7-flash and 991,000 tokens on qwen3.8-max. First-token latency measured on AIHubMix is 2.1s on qwen3.7-flash and 3.5s on qwen3.8-max. Measured output throughput is 104.1 tokens/s on qwen3.7-flash and 37.1 tokens/s on qwen3.8-max.

Qwenqwen3.7-flashQwenqwen3.8-max
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Qwen
qwen3.7-flash
Qwen · text → text

The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.

Input$0.28 /M
Output$1.13 /M
Details
Qwen
qwen3.8-max
Qwen · text → text

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.

Input$1.69 /M
Output$5.07 /M
Details

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

qwen3.7-flash
qwen3.8-max
Input price
$0.28
$1.69
Output price
$1.13
$5.07
Cache read
$0.06
$0.17
Context window
991,000
991,000
Max output
64,000
128,000
Latency (first token)
2.1 s
3.5 s
Throughput
104.1 TPS
37.1 TPS
Modalities
text
text
Features
toolsfunction callingstructured outputsweblong contextthinking
toolsfunction callingstructured outputsweblong contextthinking
Endpoints

Promotional prices show the discounted rate; see each model page for promotion windows.

Usage on AIHubMix last 30 days

Daily traffic served through AIHubMix — how demand for each model is trending.

qwen3.7-flashqwen3.8-max

Tokens / day

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Requests / day

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Live Performance last 3 days

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

qwen3.7-flashqwen3.8-max

Throughput (TPS)

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Latency (s)

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Uptime (%)

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Cost Calculator

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

qwen3.7-flash
$33.84 /mo
qwen3.8-max
$177 /mo

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

FAQ

Which is cheaper: qwen3.7-flash, qwen3.8-max?

qwen3.7-flash: $1.13/M output tokens; qwen3.8-max: $5.07/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

qwen3.7-flash: 2.1s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

qwen3.7-flash accepts 991,000 and qwen3.8-max accepts 991,000 input tokens. Maximum output per request is 64,000 tokens on qwen3.7-flash and 128,000 tokens on qwen3.8-max.

Which one generates tokens faster?

qwen3.7-flash at 104.1 tokens/s and qwen3.8-max at 37.1 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.

What inputs and capabilities does each model support?

qwen3.7-flash accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking; qwen3.8-max accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call qwen3.7-flash and qwen3.8-max 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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