Mm Minimax M2.7 Highspeed
Minimax · text → text
For Claude Code only
Input$0.1 /M
Output$0.1 /M
← ModelsMm Minimax M2.7 Highspeed
Qwen3.8 Max
Mm Minimax M2.7 Highspeed vs Qwen3.8 Max
Compare Mm Minimax M2.7 Highspeed from Minimax and Qwen3.8 Max 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.
Mm Minimax M2.7 HighspeedQwen3.8 Max+ Add model · 2/4
Qwen3.8 Max
Qwen · text, image, video → text
Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Mm Minimax M2.7 Highspeed
Qwen3.8 Max
Input /M
$0.1
$1.69
Output /M
$0.1
$5.07
Cache read /M
-
$0.169
Context length
204,800
1,000,000
Max output
204,800
131,072
Time to First Token
0.4 s
12.5 s
Throughput
39.7 tok/s
28.4 tok/s
Modalities
text
textimagevideo
Supported Parameters
toolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
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August 3, 2026
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.
mm-minimax-m2.7-highspeedqwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
mm-minimax-m2.7-highspeedqwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Mm Minimax M2.7 Highspeed
$7.50 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Mm Minimax M2.7 Highspeed, Qwen3.8 Max?
Mm Minimax M2.7 Highspeed: $0.1/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Mm Minimax M2.7 Highspeed: 0.4s 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?
Mm Minimax M2.7 Highspeed accepts 204,800 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 204,800 tokens on Mm Minimax M2.7 Highspeed and 131,072 tokens on Qwen3.8 Max.
Which one generates tokens faster?
Mm Minimax M2.7 Highspeed at 39.7 tok/s and Qwen3.8 Max at 28.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Mm Minimax M2.7 Highspeed accepts text input and supports tool calling, function calling and structured outputs; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call Mm Minimax M2.7 Highspeed 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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