Models

deepseek-v4-flash vs qwen3.8-max-preview

Output tokens cost $0.31 per million on deepseek-v4-flash and $1.01 per million on qwen3.8-max-preview. Input tokens cost $0.15 per million on deepseek-v4-flash and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.00 per million on deepseek-v4-flash and $0.03 per million on qwen3.8-max-preview. Context windows are 1,000,000 tokens on deepseek-v4-flash and 983,616 tokens on qwen3.8-max-preview. First-token latency measured on AIHubMix is 1.2s on deepseek-v4-flash and 2.4s on qwen3.8-max-preview. Measured output throughput is 101.3 tokens/s on deepseek-v4-flash and 48.1 tokens/s on qwen3.8-max-preview.

DeepSeekdeepseek-v4-flashQwenqwen3.8-max-preview
DeepSeek
deepseek-v4-flash
DeepSeek · text → text

DeepSeek-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.

Input$0.15 /M
Output$0.31 /M
Qwen
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

Specs & Pricing

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

deepseek-v4-flash
qwen3.8-max-preview
Input price
$0.15
$0.34
Output price
$0.31
$1.01
Cache read
$0.00
$0.03
Context window
1,000,000
983,616
Max output
384,000
131,072
Latency (first token)
1.2 s
2.4 s
Throughput
101.3 TPS
48.1 TPS
Modalities
text
textimage
Features
toolsfunction callingstructured outputsthinking
toolsfunction callingstructured outputsweblong contextthinking
Endpoints
chat_completions · claude_api

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.

deepseek-v4-flashqwen3.8-max-preview

Tokens / day

-

Requests / day

-

Live Performance last 3 days

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

deepseek-v4-flashqwen3.8-max-preview

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Cost Calculator

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

deepseek-v4-flash
$13.86 /mo
qwen3.8-max-preview
$35.49 /mo

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

FAQ

Which is cheaper: deepseek-v4-flash, qwen3.8-max-preview?

deepseek-v4-flash: $0.31/M output tokens; qwen3.8-max-preview: $1.01/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

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.

How large is each context window?

deepseek-v4-flash accepts 1,000,000 and qwen3.8-max-preview accepts 983,616 input tokens. Maximum output per request is 384,000 tokens on deepseek-v4-flash and 131,072 tokens on qwen3.8-max-preview.

Which one generates tokens faster?

deepseek-v4-flash at 101.3 tokens/s and qwen3.8-max-preview at 48.1 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.

What inputs and capabilities does each model support?

deepseek-v4-flash 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.

Can I call deepseek-v4-flash 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.

Popular Comparisons

Related model match-ups readers also look at.