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Mercury 2.5 Preview vs Qwen3.8 Max Preview

Compare Mercury 2.5 Preview from Inception and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

InceptionMercury 2.5 PreviewQwenQwen3.8 Max Preview
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Inception logo
Mercury 2.5 Preview
Inception · text → text

Mercury 2.5 is the latest diffusion-based large language model (dLLM) released by Inception. It is the fastest inference LLM; unlike the sequential token-by-token generation approach, Mercury 2.5 can generate and optimize multiple tokens in parallel, achieving a generation speed of 1,107 tokens per second on standard GPUs. Compared to Mercury 2, its intelligence has increased by more than 10 percentage points, and its quality rivals leading cost-optimized frontier models such as GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5.

Input$0.20$0.04 /M
Output$0.75$0.15 /M
Cache read$0.02$0.00 /M
Details
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
Cache read$0.03 /M
Details

Pricing & Specifications

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

Mercury 2.5 Preview
Qwen3.8 Max Preview
Input /M
$0.20$0.04−80%
$0.34
Output /M
$0.75$0.15−80%
$1.01
Cache read /M
$0.02$0.00−80%
$0.03
Context length
260,000
983,616
Max output
260,000
131,072
Time to First Token
3.7 s
2.4 s
Throughput
110.1 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtools
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
September 2, 2026
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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.

mercury-2.5-previewqwen3.8-max-preview

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.

mercury-2.5-previewqwen3.8-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.

Mercury 2.5 Preview
$23$4.65 /mo
Qwen3.8 Max Preview
$35.49 /mo

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

FAQ

Which is cheaper: Mercury 2.5 Preview, Qwen3.8 Max Preview?

Mercury 2.5 Preview: $0.15/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?

Mercury 2.5 Preview accepts 260,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 260,000 tokens on Mercury 2.5 Preview and 131,072 tokens on Qwen3.8 Max Preview.

Which one generates tokens faster?

Mercury 2.5 Preview at 110.1 tok/s and Qwen3.8 Max Preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Mercury 2.5 Preview accepts text input and supports thinking and tool calling; 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 Mercury 2.5 Preview 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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