Models

MiMo V2 Omni vs Qwen3.8 Max Preview

Compare MiMo V2 Omni from Xiaomi 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.

XiaomiMiMo V2 OmniQwenQwen3.8 Max Preview
Xiaomi logo
MiMo V2 Omni
Xiaomi · text, image, video, audio → text

MiMo-V2-Omni is designed for complex real-world multimodal interaction and execution scenarios. We've built an all-modal foundation from the ground up that fuses text, vision, and speech, and use a unified architecture to deeply bind "perception" and "action." This not only breaks the traditional models' limitation of emphasizing understanding over execution, but also natively equips the model with multimodal perception, tool invocation, function execution, and GUI operation capabilities. MiMo-V2-Omni can seamlessly integrate with major agent frameworks, achieving a leap from understanding to manipulation and significantly lowering the barrier to deploying full-modal agents.

Input$0.44 /M
Output$2.20 /M
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

Pricing & Specifications

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

MiMo V2 Omni
Qwen3.8 Max Preview
Input /M
$0.44
$0.34
Output /M
$2.20
$1.01
Cache read /M
$0.09
$0.03
Context length
256,000
983,616
Max output
0
131,072
Time to First Token
1.7 s
2.4 s
Throughput
41.3 tok/s
48.1 tok/s
Modalities
textimagevideoaudio
textimage
Supported Parameters
web
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
-

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.

mimo-v2-omniqwen3.8-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

mimo-v2-omniqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
mimo-v2-omniqwen3.8-max-preview
1380144015001560
Overall
14301481
Coding
14881520
Math
14371504
Hard prompts
14581506
Instruction following
14271478
Multi-turn
14501496
Creative writing
13961469
Longer query
14491497
Chinese
14841545
English
14451486
Vision
mimo-v2-omniqwen3.8-max-preview
12001240128013201360
Overall
12181302
OCR
12311317
Diagram
12541331
Homework
12461335

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.

Qwen3.8 Max Preview
$35.49 /mo
MiMo V2 Omni
$59.40 /mo

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

FAQ

Which is cheaper: MiMo V2 Omni, Qwen3.8 Max Preview?

Qwen3.8 Max Preview: $1.01/M output tokens; MiMo V2 Omni: $2.20/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Qwen3.8 Max Preview: 1520; MiMo V2 Omni: 1488 (LMArena coding leaderboard).

Which responds faster?

MiMo V2 Omni: 1.7s 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?

MiMo V2 Omni accepts 256,000 and Qwen3.8 Max Preview accepts 983,616 input tokens.

Which one generates tokens faster?

Qwen3.8 Max Preview at 48.1 tok/s and MiMo V2 Omni at 41.3 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

MiMo V2 Omni accepts text, image, video and audio input and supports web search; 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 MiMo V2 Omni 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.

Popular comparisons

Related model match-ups readers also look at.