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.

Basismodell Alle Modelle dieser Basis Alle Modelle des Anbieters zum Anbieter

Eingabe, $/1M $0.14

Ausgabe, $/1M $0.54

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Zuletzt geprüft 04.11.2026 12:00:14 UTC

Quelle Seite des Anbieters

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API

OpenAI-kompatible API: Die offiziellen OpenAI-SDKs funktionieren mit dieser Basis-URL. Ersetzen Sie YOUR_API_KEY durch Ihren Schlüssel vom Anbieter.

API-Basis-URL	`https://aihubmix.com/api/v1`
Endpunkt	`https://aihubmix.com/api/v1/chat/completions`
Modell-ID	`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());

Anfrage (JSON)

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

Antwort (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
  }
}

Die Adresse stammt aus der Modellliste des Anbieters; bitte mit seiner Dokumentation abgleichen.

API-Dokumentation des Anbieters

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

Technische Details

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