Xiaomi: MiMo-V2-Flash

Public pricingIntelligence 81/100Large memoryगहरी सोचटूल उपयोग

Xiaomi: MiMo-V2-Flash एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह कम latency और efficient inference، open-source flexibility, 262K tokens का context और कम लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो,

Input

$0.09/1M

Output

$0.29/1M

Cached

$0.04/1M

Batch

$0.04/1M

Calculate your MiMo-V2-Flash bill.

Set your workload — see cost at your exact volume.

What would MiMo-V2-Flash cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

MiMo-V2-Flash at a glance.

Memory

262,144

tokens

Max reply

65,536

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Mar 2026

Training cutoff

Dec 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2025

    94.1

  • bbh

    88.5

  • drop

    84.7

  • gpqa_diamond

    83.7

  • hellaswag

    88.5

  • humaneval

    70.7

  • livecodebench

    80.6

  • math

    71

  • mmlu

    86.7

  • mmlu_pro

    84.9

  • swe_bench_verified

    73.4

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick MiMo-V2-Flash

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

MiMo-V2-Flash — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, MiMo-V2-Flash costs roughly $18 per month. Input is $0.09 /1M tokens and output is $0.29 /1M tokens.
MiMo-V2-Flash has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, MiMo-V2-Flash supports deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
MiMo-V2-Flash was released in March 2026, with training data cut off around December 2025.
Models in a similar class include MiMo-V2-Omni, MiMo-V2-Pro, Nemotron 3 Super. The "Similar models" section below this FAQ links into each.

Still unsure?

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