AI 模型情报

MiMo V2 Flash (Thinking)

xiaomi/mimo-v2-flash-thinking

出品方: xiaomi · 系列: mimo · 发布 2025-12-17

$0.102
输入 / 1M token
$0.306
输出 / 1M token
256K
上下文长度
33K
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.

Coding9
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)8/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output19
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume19/20
Cost efficiency72
  • Headline price (log-scaled)72/95
  • Has prompt-cache pricing0/5
Long context60
  • Context window (100K → 2M)50/90
  • Has published price for full window10/10
Production-readiness65
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • 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
$0.66
< $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
$1.33
< $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
$0.36
< $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
$1.12
< $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
$1.41
< $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 nano-gpt · xiaomi/mimo-v2-flash-thinking

$0.102
输入
$0.306
输出

在 1 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
NanoGPT
nano-gpt
xiaomi/mimo-v2-flash-thinking$0.102$0.306256K2025-12-17

Frequently asked questions

How much does MiMo V2 Flash (Thinking) cost?

MiMo V2 Flash (Thinking) costs $0.102 per 1M input tokens and $0.306 per 1M output tokens, sourced from nano-gpt. 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 Flash (Thinking)?

MiMo V2 Flash (Thinking) has a context window of 256K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does MiMo V2 Flash (Thinking) support tool calling?

No. MiMo V2 Flash (Thinking) does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does MiMo V2 Flash (Thinking) support structured output / JSON mode?

No. MiMo V2 Flash (Thinking) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can MiMo V2 Flash (Thinking) accept image input?

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

Is MiMo V2 Flash (Thinking) open-weight?

No. MiMo V2 Flash (Thinking) 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 Flash (Thinking)?

If MiMo V2 Flash (Thinking) 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.