Coding Xiaomi Mimo V2 Omni
Xiaomi · text, image, video, audio → text
Only supports OpenAI-compatible formats.
Input$0.08 /M
Output$0.4 /M
Cache read$0.016 /M
← ModelsCoding Xiaomi Mimo V2 Omni
Qwen3.8 Max
Coding Xiaomi Mimo V2 Omni vs Qwen3.8 Max
Compare Coding Xiaomi Mimo V2 Omni from Xiaomi 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 Xiaomi Mimo V2 OmniQwen3.8 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 Xiaomi Mimo V2 Omni
Qwen3.8 Max
Input /M
$0.08
$1.69
Output /M
$0.4
$5.07
Cache read /M
$0.016
$0.169
Context length
1,048,576
1,000,000
Max output
131,072
131,072
Time to First Token
-
43.1 s
Throughput
-
30.7 tok/s
Modalities
textimagevideoaudio
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
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-xiaomi-mimo-v2-omniqwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
coding-xiaomi-mimo-v2-omniqwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
coding-xiaomi-mimo-v2-omniqwen3.8-max
1380142014601500
Overall
14301482
Coding
14881488
Math
14371437
Hard prompts
14581458
Instruction following
14271427
Multi-turn
14501450
Creative writing
13961396
Longer query
14491449
Chinese
14841484
English
14451445
Vision
coding-xiaomi-mimo-v2-omniqwen3.8-max
1200124012801320
Overall
12181301
OCR
12311231
Diagram
12541254
Homework
12461246
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 Xiaomi Mimo V2 Omni
$10.80 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Coding Xiaomi Mimo V2 Omni, Qwen3.8 Max?
Coding Xiaomi Mimo V2 Omni: $0.4/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
Coding Xiaomi Mimo V2 Omni accepts 1,048,576 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 131,072 tokens on Coding Xiaomi Mimo V2 Omni and 131,072 tokens on Qwen3.8 Max.
What inputs and capabilities does each model support?
Coding Xiaomi Mimo V2 Omni accepts text, image, video and audio 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 Xiaomi Mimo V2 Omni 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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