MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It adopts a MoE architecture with 309B total parameters and 15B active parameters per inference, balancing performance and efficiency. The model features a hybrid attention architecture, supports a hybrid-thinking toggle, and offers a 256K context window, enabling strong capabilities in complex reasoning, code generation, and agent-based scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks #1 among open-source models globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.
MiMo V2 Flash (free) vs Qwen3.8 Max Preview
Context lengths are 256,000 tokens on MiMo V2 Flash (free) and 983,616 tokens on Qwen3.8 Max Preview. Time to first token (TTFT) measured on AIHubMix is 1.6s on MiMo V2 Flash (free) and 2.4s on Qwen3.8 Max Preview. Measured output throughput is 130.4 tok/s on MiMo V2 Flash (free) and 48.1 tok/s on Qwen3.8 Max Preview. On the LMArena coding leaderboard MiMo V2 Flash (free) scores 1445 and Qwen3.8 Max Preview scores 1520.
MiMo V2 Flash (free)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.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
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.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How do their coding arena scores compare?
Qwen3.8 Max Preview: 1520; MiMo V2 Flash (free): 1445 (LMArena coding leaderboard).
Which responds faster?
MiMo V2 Flash (free): 1.6s 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 Flash (free) accepts 256,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 256,000 tokens on MiMo V2 Flash (free) and 131,072 tokens on Qwen3.8 Max Preview.
Which one generates tokens faster?
MiMo V2 Flash (free) at 130.4 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?
MiMo V2 Flash (free) accepts text 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 Flash (free) 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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