Coding MiniMax M2.7
Minimax · text → text
Input$0.2 /M
Output$0.2 /M
← ModelsCoding MiniMax M2.7
Qwen3.8 Max
Coding MiniMax M2.7 vs Qwen3.8 Max
Compare Coding MiniMax M2.7 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.
Coding MiniMax M2.7Qwen3.8 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.
Coding MiniMax M2.7
Qwen3.8 Max
Input /M
$0.2
$1.69
Output /M
$0.2
$5.07
Cache read /M
-
$0.169
Context length
204,800
1,000,000
Max output
204,800
131,072
Time to First Token
0.8 s
12.5 s
Throughput
33.1 tok/s
28.4 tok/s
Modalities
text
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
March 18, 2026
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.
coding-minimax-m2.7qwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
coding-minimax-m2.7qwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
coding-minimax-m2.7qwen3.8-max
13401380142014601500
Overall
14171482
Coding
14801480
Math
14221422
Hard prompts
14431443
Instruction following
14091409
Multi-turn
14281428
Creative writing
13631363
Longer query
14351435
Chinese
14431443
English
14371437
WebDev Arena
coding-minimax-m2.7qwen3.8-max
1360146015601660
Overall
13961672
React
13921392
HTML
13991399
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Coding MiniMax M2.7
$15.00 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Coding MiniMax M2.7, Qwen3.8 Max?
Coding MiniMax M2.7: $0.2/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Coding MiniMax M2.7: 0.8s 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?
Coding MiniMax M2.7 accepts 204,800 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 204,800 tokens on Coding MiniMax M2.7 and 131,072 tokens on Qwen3.8 Max.
Which one generates tokens faster?
Coding MiniMax M2.7 at 33.1 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?
Coding MiniMax M2.7 accepts text input and supports thinking, 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 Coding MiniMax M2.7 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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