MiniMax M2.7 Highspeed on Vercel AI Gateway

MiniMax M2 · MiniMax

ServerlessOpen Source

Last refreshed 2026-06-29. Next refresh: weekly.

Why use MiniMax M2.7 Highspeed on Vercel AI Gateway?

Vercel AI Gateway offers MiniMax M2.7 Highspeed with pay-as-you-go pricing at $0.60/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.

Compare MiniMax M2.7 Highspeed across 2 providers to find the best fit for your use case
Input / 1M
$0.60
Output / 1M
$2.40
Cache
read $0.060
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export AI_GATEWAY_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
Model ID
minimax/minimax-m2.7-highspeed

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="minimax/minimax-m2.7-highspeed",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "minimax/minimax-m2.7-highspeed", not the LLMReference slug "minimax-m2.7-highspeed".
  • creator/model-name e.g. kwaipilot/kat-coder-pro-v2
  • The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.

Compare MiniMax M2.7 Highspeed Across Providers

ProviderInput (per 1M)Output (per 1M)
MiniMax——
Vercel AI Gateway$0.60$2.40

Pricing

TypePrice (per 1M)
Input tokens$0.60
Output tokens$2.40

Capabilities

ReasoningJSON / Tool useStructured Outputs

About MiniMax M2.7 Highspeed

MiniMax M2.7 Highspeed is the inference-optimized variant of MiniMax M2.7, released simultaneously on March 18, 2026. It reaches 100 tokens per second output speed, about 66% faster than standard M2.7, while preserving identical intelligence and outputs through engine optimization rather than weight changes. It supports a 204,800-token context window, 131,072-token max output, function calling, structured output, and reasoning. API model ID: MiniMax-M2.7-highspeed.

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Model Specs

Released2026-03-18
Parameters10B active
Context205k
ArchitectureDecoder Only