MiniMaxPaidOperational
MiniMax M3.1 Flash
API model name: minimax-m3.1-flash
MiniMax M3.1 Flash is MiniMax's chat model, served on the Api.Airforce unified API. It has a 1M-token context window. Beyond text, it accepts image, file as input. Capabilities include Vision, Tool calling, Reasoning, Documents, Prompt caching. It is priced at $0.12 per million input tokens and $0.48 per million output tokens. Knowledge cutoff: 2026-06. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.
Pricing
Specifications
- Provider
- MiniMax
- Type
- chat model
- Context window
- 1M tokens
- Max output
- 128K tokens
- Knowledge cutoff
- 2026-06
- Input
- text, image, file
- Output
- text
- Prompt caching
- Supported
Capabilities
VisionTool callingReasoningDocumentsPrompt cachingStreaming
What is MiniMax M3.1 Flash used for?
- Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
- Image understanding — analyze photos, screenshots, charts and scanned documents.
- Agents & automation — function calling and tool use for multi-step workflows.
- Complex reasoning — math, coding and step-by-step problem solving.
- Document analysis — summarize and answer questions across long files.
- Long-context tasks — process entire documents or codebases in a single prompt.
- Real-time experiences — stream tokens for responsive chat and apps.
MiniMax M3.1 Flash vs. similar models
| Model | Intelligence | Context | Input / 1M | Output / 1M |
|---|---|---|---|---|
| MiniMax M3.1 Flash | — | 1M | $0.12 | $0.48 |
| MiniMax M2.1 Lightning | — | — | $0.27 | $2.20 |
| MiniMax M2.5 Lightning | — | — | $0.27 | $2.20 |
| MiniMax M2.7 Highspeed | — | — | $0.55 | $2.20 |
Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.
Related models
MiniMax M2.1 LightningMiniMax · $0.27 / 1MMiniMax M2.5 LightningMiniMax · $0.27 / 1MMiniMax M2.7 HighspeedMiniMax · $0.55 / 1MMiniMax Voice DesignMiniMax · $29.28 / 1Mabab5.5 ChatMiniMax · $0.73 / 1MDeep Research Pro Preview 12MiniMax · $2.00 / 1MMiniMax 01MiniMax · $0.22 / 1MMiniMax Hailuo 02MiniMaxMiniMax Hailuo 2.3MiniMaxMiniMax M1MiniMax · $0.61 / 1MMiniMax M2MiniMax · $0.27 / 1MMiniMax M2 HerMiniMax · $0.33 / 1M
MiniMax M3.1 Flash — frequently asked questions
- How much does MiniMax M3.1 Flash cost?
- MiniMax M3.1 Flash is billed pay-as-you-go at $0.12 per 1M input tokens and $0.48 per 1M output tokens. There is no subscription — you only pay for what you use.
- What is the context window of MiniMax M3.1 Flash?
- MiniMax M3.1 Flash supports a context window of up to 1M tokens. It can return up to 128K tokens in a single response.
- What can MiniMax M3.1 Flash do?
- MiniMax M3.1 Flash supports Vision, Tool calling, Reasoning, Documents, Prompt caching.
- Is MiniMax M3.1 Flash free to use?
- MiniMax M3.1 Flash is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
- How do I use MiniMax M3.1 Flash via the API?
- MiniMax M3.1 Flash is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID minimax-m3.1-flash with your Api.Airforce API key.
- Who makes MiniMax M3.1 Flash?
- MiniMax M3.1 Flash is MiniMax's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.
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Use MiniMax M3.1 Flash via the API
OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass minimax-m3.1-flash as the model.
cURL
curl https://api.airforce/v1/chat/completions \
-H "Authorization: Bearer $AIRFORCE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax-m3.1-flash",
"messages": [{ "role": "user", "content": "Hello!" }]
}'Python
from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
model="minimax-m3.1-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
model: "minimax-m3.1-flash",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);