Mai Thinking 1

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Mai Thinking 1

Q: What is the context length of Mai Thinking 1?

Mai Thinking 1 has a 256,000 token context window. It supports up to 64,000 output tokens.

Q: How much does Mai Thinking 1 cost?

On AIHubMix, Mai Thinking 1 costs $2 per million input tokens and $8 per million output tokens.

Q: What modalities does Mai Thinking 1 support?

Mai Thinking 1 accepts text input. It returns text output.

Q: What capabilities does Mai Thinking 1 support?

Mai Thinking 1 supports thinking and structured outputs. Per-protocol parameter support is listed in the capability table on this page.

Q: How do I call Mai Thinking 1 via API?

Mai Thinking 1 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to mai-thinking-1 — no other code changes needed.

Q: Who created Mai Thinking 1?

Mai Thinking 1 is developed by Microsoft. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

mai-thinking-1llms.txt

Microsoft

New

MAI-Thinking-1 is Microsoft’s first inference model in the MAI series, built for enterprise-scale workloads. With excellent reasoning, mathematical, and general intelligence capabilities, combined with superior cost-effectiveness, it makes high-throughput, 24/7 AI workloads economically viable.

Pricing

Input Tokens: $2 /M tokens
Output Tokens: $8 /M tokens

Input Modalities

Text

Output Modalities

Text

Context length

256K tokens

Max output

64K tokens

Capabilities

Thinking
Streaming
Tool calling
Web search
URL context
Code interpreter
Computer use
File search
Memory tool
Structured outputs
Citations
Prompt caching
Background mode
Server-side sessions

Providers

Azure mai-thinking-1

Pricing$2$8

Context256K

Max output256K

Latency19.0S

Throughput41.6TPS

Uptime

100.00% uptime 2 days ago

100.00% uptime yesterday

0.00% uptime today

Performance for mai-thinking-1

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime

Latency

Throughput

Try this model

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="mai-thinking-1",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Mai Thinking 1?

What is the context length of Mai Thinking 1?

How much does Mai Thinking 1 cost?

What modalities does Mai Thinking 1 support?

What capabilities does Mai Thinking 1 support?

How do I call Mai Thinking 1 via API?

Who created Mai Thinking 1?

Compare Mai Thinking 1

Mai Thinking 1vsQwen3.8 Max Preview Mai Thinking 1vsKimi K3 Mai Thinking 1vsGLM 5.2 Mai Thinking 1vsGrok 4.5

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TTFT:-

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Mai Thinking 1

Pricing

Input Modalities

Output Modalities

Context length

Max output

Capabilities

Providers

Performance for mai-thinking-1

Try this model

Frequently asked questions

What is Mai Thinking 1?

What is the context length of Mai Thinking 1?

How much does Mai Thinking 1 cost?

What modalities does Mai Thinking 1 support?

What capabilities does Mai Thinking 1 support?

How do I call Mai Thinking 1 via API?

Who created Mai Thinking 1?

Compare Mai Thinking 1

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