MiniMax M2.5 Highspeed
Minimax · text → text
• Same performance as minimax-m2.5 • Significantly faster inference
Input$0.29 /M
Output$1.15 /M
← ModelsMiniMax M2.5 Highspeed
Qwen3.8 Max Preview
MiniMax M2.5 Highspeed vs Qwen3.8 Max Preview
Output tokens cost $1.15 per million on MiniMax M2.5 Highspeed and $1.01 per million on Qwen3.8 Max Preview. Input tokens cost $0.29 per million on MiniMax M2.5 Highspeed and $0.34 per million on Qwen3.8 Max Preview. Cached input tokens are billed at $0.29 per million on MiniMax M2.5 Highspeed and $0.03 per million on Qwen3.8 Max Preview. Context lengths are 204,800 tokens on MiniMax M2.5 Highspeed and 983,616 tokens on Qwen3.8 Max Preview. Time to first token (TTFT) measured on AIHubMix is 1.4s on MiniMax M2.5 Highspeed and 2.4s on Qwen3.8 Max Preview. Measured output throughput is 54.2 tok/s on MiniMax M2.5 Highspeed and 48.1 tok/s on Qwen3.8 Max Preview.
MiniMax M2.5 HighspeedQwen3.8 Max Preview+ Add model · 2/4
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.
MiniMax M2.5 Highspeed
Qwen3.8 Max Preview
Input /M
$0.29
$0.34
Output /M
$1.15
$1.01
Cache read /M
$0.29
$0.03
Context length
204,800
983,616
Max output
192,000
131,072
Time to First Token
1.4 s
2.4 s
Throughput
54.2 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction 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.
minimax-m2.5-highspeedqwen3.8-max-preview
Tokens / day
-
Requests / day
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Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
minimax-m2.5-highspeedqwen3.8-max-preview
Throughput (tok/s)
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TTFT (s)
-
Uptime (%)
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Cost calculator
Estimate your monthly bill for the same workload on each model.
MiniMax M2.5 Highspeed
$34.56 /mo
Qwen3.8 Max Preview
$35.49 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: MiniMax M2.5 Highspeed, Qwen3.8 Max Preview?
Qwen3.8 Max Preview: $1.01/M output tokens; MiniMax M2.5 Highspeed: $1.15/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
MiniMax M2.5 Highspeed: 1.4s 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?
MiniMax M2.5 Highspeed accepts 204,800 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 192,000 tokens on MiniMax M2.5 Highspeed and 131,072 tokens on Qwen3.8 Max Preview.
Which one generates tokens faster?
MiniMax M2.5 Highspeed at 54.2 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?
MiniMax M2.5 Highspeed accepts text input and supports thinking, 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 MiniMax M2.5 Highspeed 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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