MiMo-V2.6-Flash

xiaomi/mimo-v2.6-flash
Featured
VisionAudioToolsJSONReasoning
by Xiaomi · 2026-09-21

MiMo-V2.6-Flash is the fast, cost-efficient tier of Xiaomi's open-source MiMo V2.6 foundation family. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token and a hybrid attention design, it delivers strong agentic, coding, and long-horizon performance at a fraction of the cost and latency of the flagship Pro tier. It is natively omnimodal, accepting text, image, video, and audio input and returning text, so interface screenshots and error states, architecture and network diagrams, dashboards and charts, recorded screen sessions, and audio can be reasoned over directly alongside source code and long textual context. A 1,048,576-token context window lets whole repositories, large document and log sets, long transcripts, or multi-session tool traces sit in a single call without a retrieval pipeline, while an output ceiling of up to 131,072 tokens supports long single-pass artifacts — complete reports, extended refactors and code generation, or detailed multi-step plans. It supports both thinking and non-thinking modes with selectable reasoning effort, native function calling, and structured (JSON) output, making it well suited to agentic tooling that plans, invokes tools, and returns machine-parseable results — coding assistants, computer-use and browser agents, and automated workflows that carry a lot of state across many turns. It reports 87.6 on Terminal-Bench 2.1, 80.8 on OSWorld-Verified, 73.6 on Toolathlon-Verified, and 67.9 on DeepSWE v1.1. As the Flash tier it is tuned for breadth and volume — bulk triage, large fan-out agent runs, and interactive assistants served at scale — where throughput and cost per token matter as much as raw peak intelligence, for which the heavier MiMo Pro tiers remain the better fit. It is available over the Chat Completions, OpenAI Responses, and Anthropic Messages APIs, so existing OpenAI- and Anthropic-style clients can target it without code changes.

ctx1M tokens
Max output131K
Inputtext + image + video + audio
Outputtext
Best forcode, agentic, long-context
p50 TTFT4.50 s
INPUT$0.14/ 1M tokens
OUTPUT$0.28/ 1M tokens
p50 TTFT4.50 s7d
p95 TTFT8.58 s7d
TRAFFIC1.5Ktokens / 7d

Code samples

Call from any SDK

OpenAI-compatible — keep the SDK you already use

  • OpenAI SDKhttps://api.orcarouter.ai/v1
  • Anthropic SDKhttps://api.orcarouter.ai
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key=os.environ["ORCAROUTER_API_KEY"],
)

response = client.chat.completions.create(
    model="xiaomi/mimo-v2.6-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

  • frequency_penalty
  • include_reasoning
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • parallel_tool_calls
  • presence_penalty
  • reasoning
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Pricing

Pricing
Input / 1M tokens$0.140
Output / 1M tokens$0.280
Cache read / 1M$0.0028
CurrencyUSD

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $1.82 · With prompt caching $1.34

Estimate based on list price

Token & cost estimator

Input tokens: 20Cost per request: $0.000143

Estimate only — actual token counts depend on the provider's tokenizer.

Compare monthly costs across models in the LLM cost calculator

Performance

p50 TTFT
4.50 s
Output speed
31.1 tok/s
p95 TTFT
8.58 s
Error rate
0%

Public benchmarks

AutomationBench v1.0.6
52.3
DeepSWE v1.1
67.9
OSWorld-Verified
80.8
Terminal-Bench 2.1
87.6
Toolathlon-Verified
73.6
Source: xiaomi

Community buzz

What developers are saying this week

Hacker News0 mentions · 7d

How it compares

MiMo-V2.6-FlashMiMo-V2.6-Pro
Input $/M$0.14$0.43
Output $/M$0.28$0.87
Context1.0M1.0M
Quality8/109/10
Compare side-by-sideCompare side-by-side

FAQ

How much does Xiaomi: MiMo-V2.6-Flash cost on OrcaRouter?
Xiaomi: MiMo-V2.6-Flash is priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is Xiaomi: MiMo-V2.6-Flash's context window?
Xiaomi: MiMo-V2.6-Flash supports a context window of 1M tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call Xiaomi: MiMo-V2.6-Flash via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="xiaomi/mimo-v2.6-flash" in the chat.completions.create call.
Does OrcaRouter rate-limit Xiaomi: MiMo-V2.6-Flash?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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Model card as data

GET /api/public/models/xiaomi/mimo-v2.6-flashOpen
Machine-readable:/llms.txt/llms-full.txt