MiniMax M3.1 Flash

MiniMax's frontier multimodal coding model with a 1M context window and tunable thinking depth.

Input price: $0.1606–$0.165
Output price: $0.6424–$0.66

Context: 1M
Max output: 524K
Modalities: InputTextImageVideoOutputText

Capability: —
30-day uptime: —

Released: 2026-09-27
Knowledge cutoff: —

Providers

Providers that serve this model. With Auto, each request goes to the best available provider. Prices in USD per 1M tokens; stats cover the last 30 days.

AutoInput$0.1606–$0.165Output$0.6424–$0.66Cache read$0.01606–$0.0165Context1MMax output524KWe send each request to the best-priced healthy provider. You pay that provider’s price.Tencent Cloud TokenHubCheapestInput$0.1606Output$0.6424Cache read$0.01606ChinaNo trainingMiniMaxInput$0.165Output$0.66Cache read$0.0165ChinaNo trainingTogether AIInput$0.165Output$0.66Cache read$0.0165Context1MUnited Statesfp4No trainingNo retention

Pricing

Prices vary by provider. Showing Tencent Cloud TokenHub, the lowest. Pick a provider above to see its prices.

Input: $0.1606; per 1M tokens
Output: $0.6424; per 1M tokens
Cache read: $0.01606; per 1M tokens

Try it

Runs on your balance and is billed like any API request.

curl https://api.ohmygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $OHMYGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m3.1-flash",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

import os

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["OHMYGPT_API_KEY"],
    base_url="https://api.ohmygpt.com/v1",
)

response = client.chat.completions.create(
    model="minimax/minimax-m3.1-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OHMYGPT_API_KEY,
  baseURL: "https://api.ohmygpt.com/v1",
});

const response = await client.chat.completions.create({
  model: "minimax/minimax-m3.1-flash",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(response.choices[0].message.content);

The answer streams in here.

Billed by usage

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