MiniMax M2.7 on Vercel AI Gateway

MiniMax M2 · MiniMax

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

Why use MiniMax M2.7 on Vercel AI Gateway?

Vercel AI Gateway offers MiniMax M2.7 with pay-as-you-go pricing at $0.30/1M 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 across 4 providers to find the best fit for your use case
Input / 1M
$0.30
Output / 1M
$1.20
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

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",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "minimax/minimax-m2.7", not the LLMReference slug "minimax-m2.7".
  • 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 Across Providers

ProviderInput (per 1M)Output (per 1M)
OpenRouter$0.28$1.20
Fireworks AI$0.30$1.20
Vercel AI Gateway$0.30$1.20
Novita AI$0.30$1.20

Pricing

TypePrice (per 1M)
Input tokens$0.30
Output tokens$1.20

Capabilities

ReasoningJSON / Tool useStructured Outputs

About MiniMax M2.7

MiniMax M2.7 is MiniMax's self-improving frontier model, released March 18, 2026. It introduces native multi-agent collaboration, complex skill orchestration, and early recursive self-improvement capabilities. The model uses 10B active parameters, supports a 204,800-token context window, and was released alongside MiniMax-M2.7-highspeed, a 66% faster latency-optimized variant. Public provider listings price standard M2.7 at $0.30 per 1M input tokens and $1.20 per 1M output tokens. MiniMax M3 supersedes it for million-token, multimodal, and computer-use workflows, while M2.7 remains the lower-cost text-only route when 200K context is enough.

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