Ring Flash 2.0 · aihubmix

Ring-flash-2.0 is a high-performance thinking model deeply optimized based on the Ling-flash-2.0-base. It uses a mixture-of-experts (MoE) architecture with a total of 100 billion parameters, but only activates 6.1 billion parameters per inference. The model employs the original Icepop algorithm to solve the instability issues of large MoE models during reinforcement learning (RL) training, enabling its complex reasoning capabilities to continuously improve over long training cycles. Ring-flash-2.0 has achieved significant breakthroughs on multiple high-difficulty benchmarks, including mathematics competitions, code generation, and logical reasoning. Its performance not only surpasses top dense models under 40 billion parameters but also rivals larger open-source MoE models and closed-source high-performance thinking models. Although the model focuses on complex reasoning, it also performs exceptionally well on creative writing tasks. Furthermore, thanks to its efficient architecture, Ring-flash-2.0 delivers high performance with low-latency inference, significantly reducing deployment costs in high-concurrency scenarios.

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Entrée, $/1M $0.14

Sortie, $/1M $0.54

Contexte —

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Dernière vérification 04.11.2026 12:00:14 UTC

Source page du fournisseur

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API

API compatible OpenAI : les SDK officiels d'OpenAI fonctionnent avec cette URL de base. Remplacez YOUR_API_KEY par votre clé du fournisseur.

URL de base de l'API	`https://aihubmix.com/api/v1`
Point de terminaison	`https://aihubmix.com/api/v1/chat/completions`
ID du modèle	`inclusionAI/Ring-flash-2.0`

curl

curl https://aihubmix.com/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "inclusionAI/Ring-flash-2.0", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'

Python

import requests

r = requests.post(
    "https://aihubmix.com/api/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "inclusionAI/Ring-flash-2.0",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())

JavaScript

const r = await fetch("https://aihubmix.com/api/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "inclusionAI/Ring-flash-2.0",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Requête (JSON)

{
  "model": "inclusionAI/Ring-flash-2.0",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Réponse (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "inclusionAI/Ring-flash-2.0",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

L'adresse provient de la liste de modèles du fournisseur ; vérifiez-la dans sa documentation.

Documentation API du fournisseur

Source: AI Rate Card, https://airatecard.com/fr/c/offer%3Aaihubmix%7CinclusionAI/Ring-flash-2.0, prices checked 2026-11-04; seller's page: https://aihubmix.com

Détails techniques

ID: offer:aihubmix|inclusionAI/Ring-flash-2.0