How much does MiMo-V2-Pro cost per million tokens?
As of August 30, 2026, MiMo-V2-Pro OpenRouter API pricing is $0.43 per million input tokens and $0.87 per million output tokens via OpenRouter. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://openrouter.ai/xiaomi/mimo-v2.5-pro
What is the blended API cost for MiMo-V2-Pro?
On this page the blended MiMo-V2-Pro API cost is $1.30 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $2.17.
How much does a typical MiMo-V2-Pro request cost?
A typical MiMo-V2-Pro API request with 100K input tokens and 20K output tokens costs about $0.06 at current rates as of August 30, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from OpenRouter can bring the real invoice lower than the public list rate at https://openrouter.ai/xiaomi/mimo-v2.5-pro.
What is the context window for MiMo-V2-Pro?
MiMo-V2-Pro supports a 1M token context window and can generate up to 16K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Is MiMo-V2-Pro open source?
No. MiMo-V2-Pro is a proprietary model by Xiaomi. The only public way to call it is OpenRouter's API, billed per million input and output tokens. There is no self-host option for the weights.
What benchmarks does MiMo-V2-Pro perform well on?
MiMo-V2-Pro currently reports SWE-bench Verified 78%, Arena Code Elo 1434, SWE-bench Multilingual 71.7%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Is MiMo-V2-Pro good for coding?
MiMo-V2-Pro scores 78% on SWE-bench Verified. Pair that score with OpenRouter API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
How do I compare MiMo-V2-Pro with another LLM?
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated MiMo-V2-Pro vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
What are the cheapest alternatives to MiMo-V2-Pro?
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut MiMo-V2-Pro. Open-weight models can be cheaper still if you self-host, but that is not the same as OpenRouter API pricing on this page.
How do I use MiMo-V2-Pro in my application?
MiMo-V2-Pro is called through OpenRouter's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for OpenRouter and 5+ other providers with auth, payments, and deployment already configured.
How accurate is this MiMo-V2-Pro pricing data?
This MiMo-V2-Pro page tracks the latest published OpenRouter API pricing from OpenRouter, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://openrouter.ai/xiaomi/mimo-v2.5-pro. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.