MiMo v2.6 FlashOuvert
Xiaomi open-weights hybrid active parameter MoE running at 100+ tok/s with 1M context and frontier terminal agent benchmarks.
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Les axes du radar sont approximés depuis les scores par catégorie lorsque les mesures directes manquent — voir Méthodologie.
Points forts & compromis
Là où il gagne
- Fastest open-weights flagship — 118 tok/s
- SWE-bench-tier coding at flash pricing ($0.10/$0.30)
- 1M context self-hostable for regulated stacks
- Strong thinking/non-thinking dual-mode scores
Points de vigilance
- Nuance and long-tail reasoning below frontier closed models
- 310B weights still need serious VRAM even at 15B active
- Smaller ecosystem than DeepSeek/Qwen
Cas d'usage clés
Démarrage rapide développeur & API
MIMO_API_KEY — obtenir une clé APIcurl https://api.mimo.mi.com/v1/chat/completions \
-H "Authorization: Bearer $MIMO_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "mimo-v2.6-flash",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.mimo.mi.com/v1",
api_key=os.environ["MIMO_API_KEY"],
)
resp = client.chat.completions.create(
model="mimo-v2.6-flash",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.mimo.mi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.MIMO_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "mimo-v2.6-flash",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);Ressources & liens officiels
Comparer hôtes et latence
Débit, TTFT et tarifs de cache chez Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock et Azure.
Scores par Source
Scores par Catégorie
Résultats de Benchmarks
Duels en direct
Specs en direct & architecture
- Hybrid active-parameter MoE — 310B total, ~15B live per token
- 1M context at 100+ tok/s sustained
- Open weights under a permissive license
- Pretraining-to-posttraining pipeline detailed in the MiMo paper
Facture mensuelle estimée
Citer et intégrer
Loading badge markdown...@misc{llmpodium2026mimov26flash,
title = {Benchmark Analysis and Intelligence Evaluation of MiMo v2.6 Flash},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/mimo-v2-6-flash}
}Intégrer le badge de score
Ajoutez un badge Podium Score en direct à votre README GitHub ou Hugging Face — il renvoie vers le classement en direct.
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