AI 模型情报

MiMo-V2-Pro

xiaomi/mimo-v2-pro

出品方: xiaomi · 系列: mimo · 发布 2026-03-18 · 知识截止: 2024-12

$1.00
输入 / 1M token
$3.00
输出 / 1M token
1.05M
上下文长度
131K
最大输出

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

能力清单

工具调用推理? 结构化输出附件开放权重温度可调
支持模态: 输入 text · 输出 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding75
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability5/10
Agents70
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability5/10
JSON / structured output42
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume12/20
Cost efficiency52
  • Headline price (log-scaled)47/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Production-readiness83
  • Number of independent providers25/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$6.50
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$13.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$3.50
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$11.00
$0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$13.80
$0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

定价详情

推荐定价来自 xiaomi · mimo-v2-pro

$1.00
输入
$3.00
输出
$0.200
缓存读
超 200K 上下文
input $2 · output $6 · cache_read $0.4

在 5 家渠道可用

服务商服务商模型 ID输入 / 1M输出 / 1M上下文发布日期
Xiaomi
xiaomi
mimo-v2-pro$1.00$3.001.05M2026-03-18
OpenRouter
openrouter
xiaomi/mimo-v2-pro$1.00$3.001.05M2026-03-18
Vercel AI Gateway
vercel
xiaomi/mimo-v2-pro$1.00$3.001M2026-03-18
ZenMux
zenmux
xiaomi/mimo-v2-pro$1.00$3.001M2026-03-18
Kilo Gateway
kilo
xiaomi/mimo-v2-pro$1.00$3.001.05M2026-03-18

各渠道数据存在不一致

  • context_window varies: 1000000, 1048576

各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值;逐项请以下表为准。

Frequently asked questions

How much does MiMo-V2-Pro cost?

MiMo-V2-Pro costs $1.00 per 1M input tokens and $3.00 per 1M output tokens, sourced from xiaomi. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of MiMo-V2-Pro?

MiMo-V2-Pro has a context window of 1.05M tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.

Does MiMo-V2-Pro support tool calling?

Yes. MiMo-V2-Pro supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does MiMo-V2-Pro support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for MiMo-V2-Pro in our data source. Verify with xiaomi's official documentation before relying on it in production.

Can MiMo-V2-Pro accept image input?

No. MiMo-V2-Pro only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is MiMo-V2-Pro open-weight?

No. MiMo-V2-Pro is a proprietary model — only xiaomi (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to MiMo-V2-Pro?

If MiMo-V2-Pro doesn't fit, consider MiMo-V2-Flash, MiMo-V2.5-Pro, MiMo-V2.5. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More xiaomi models

Capability lists this model is in

最近更新:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.