MiniMax M2
MiniMax M2 is an open-weight MoE model from MiniMax with 230B total parameters and 10B active per forward pass, built for coding and agentic tasks. It supports a context window of 205K tokens and a max output of 205K tokens per request.
View API reference- Input and output price
- Prices from: Input $0.30, Output $1.20, Per 1M tokens
- 24h uptime
- Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({ model: 'minimax/minimax-m2', prompt: 'Why is the sky blue?'})Copy link to headingPlayground
Try out MiniMax M2 by MiniMax. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
MiniMax M2
MiniMax M2
Copy link to headingProviders
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
Copy link to headingUptime24 hours
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
Copy link to headingThroughput24 hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
Copy link to headingLatency24 hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Getting started
Call MiniMax M2 through AI Gateway with the AI SDK generateText and streamText functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.
Install the AI SDK (pnpm add ai dotenv), create an API key from the API Keys page, and set it as AI_GATEWAY_API_KEY in your environment. Full setup is covered in the text generation quickstart.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'minimax/minimax-m2', prompt: 'Why is the sky blue?', });
console.log(result.text);}
main().catch(console.error);Top-level parameters
The same MiniMax M2 request in each API format AI Gateway supports.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'minimax/minimax-m2', system: 'You are a concise technical assistant.', prompt: 'Summarize the tradeoffs between static generation and SSR.', maxOutputTokens: 1024, });
console.log(result.text);}
main().catch(console.error);Standard parameters like prompt, messages, temperature, and tools work as documented in the AI SDK docs. These are the parameters with model-specific behavior.
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | Yes | Model ID in the form creator/model, e.g. minimax/minimax-m2. AI Gateway routes the request to an available provider. |
maxOutputTokens | number | No | Hard cap on generated tokens. MiniMax M2 supports up to 205,000 output tokens. Reasoning tokens count toward this limit. |
reasoning | 'provider-default' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh' | No | Provider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under providerOptions take precedence when both are set. See the Reasoning section below. |
providerOptions | Record<string, JSONValue> | No | AI Gateway routing options under gateway, plus any provider-native options under the provider’s own namespace — see the table below. |
Input limits
| Input | Formats | Sources | Max count | Max size | Limits |
|---|---|---|---|---|---|
| Text | — | — | — | — | Prompt and response share the 205K-token context window |
Provider options
Set AI Gateway routing options under providerOptions.gateway. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.
Learn more in the AI SDK provider docs.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'minimax/minimax-m2', prompt: 'Why is the sky blue?', providerOptions: { gateway: { only: ['minimax', 'novita'], }, }, });
console.log(result.text);}
main().catch(console.error);These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example providerOptions.anthropic) exactly as documented by the AI SDK.
| Parameter | Type | Required | Description |
|---|---|---|---|
providerOptions.gateway.only | string[] | No | Restrict routing to these provider slugs. Requests fail over only within the listed providers. |
providerOptions.gateway.order | string[] | No | Preferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks. |
providerOptions.gateway.sort | 'cost' | 'ttft' | 'tps' | No | Rank candidate providers by price, time to first token, or tokens per second instead of the default routing order. |
providerOptions.gateway.zeroDataRetention | boolean | No | Route only to providers with a zero-data-retention policy for this model. |
Routing across providers
AI Gateway serves the same model through multiple providers and fails over automatically. order expresses a preference while keeping every provider eligible; only is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.
Options under a provider's own namespace (for example providerOptions.anthropic) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside gateway routing options.
Reasoning
AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level reasoning level (none, minimal, low, medium, high, or xhigh); the Chat Completions and Responses formats take the same effort under reasoning.effort; and the Anthropic Messages format uses a native thinking token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under providerOptions take full precedence over the top-level reasoning value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.
Learn more in the AI Gateway reasoning guide.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'minimax/minimax-m2', prompt: 'Explain the Monty Hall problem step by step.', reasoning: 'high', });
console.log(result.text);}
main().catch(console.error);Tool calling
Expose tools the model can call. Define each tool’s inputs with a Zod schema.
import { generateText, tool } from 'ai';import { z } from 'zod';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'minimax/minimax-m2', prompt: 'What is the weather in San Francisco?', tools: { getWeather: tool({ description: 'Get the current weather for a location', inputSchema: z.object({ location: z.string() }), execute: async ({ location }) => ({ location, temperatureC: 18 }), }), }, });
console.log(result.text);}
main().catch(console.error);Copy link to headingMore models by MiniMax
| Model |
|---|
| 1M | 0.8 s | 277 tps | $0.26/M | $1.02/M | Read$0.06/M | — | +2 |   +2 | 05/31/2026 | |||||
| 205K | 1.0 s | 61 tps | $0.30/M+1 more | $1.20/M+1 more | Read$0.06/M Write$0.38/M | — |  | 03/18/2026 | ||||||
| 205K | 0.9 s | 65 tps | $0.60/M | $2.40/M | Read$0.06/M Write$0.38/M | — | | 03/18/2026 | ||||||
| 1M | 0.6 s | 82 tps | $0.27/M+1 more | $0.95/M+1 more | Read$0.03/M Write$0.38/M | — |   +1 | 02/12/2026 | ||||||
| 205K | 0.9 s | 82 tps | $0.60/M | $2.40/M | Read$0.03/M Write$0.38/M | — | | 02/12/2026 | ||||||
| 205K | 0.8 s | 106 tps | $0.30/M | $1.20/M | Read$0.03/M Write$0.38/M | — | | 12/23/2025 |
Copy link to headingAbout MiniMax M2
MiniMax M2 is MiniMax's first openly available model designed for agentic use cases. Released on October 27, 2025, it uses a mixture-of-experts architecture with 230B total parameters and 10B active per forward pass. It supports a context window of 205K tokens and a max output of 205K tokens.
Through AI Gateway, you get intelligent provider routing, configurable failover, and built-in observability without a separate MiniMax account. Swap models or add fallback providers with a single configuration change.
Copy link to headingWhat To Consider When Choosing a Provider
- Configuration: Route MiniMax M2 through AI Gateway for observability, retries, and provider failover.
- Zero Data Retention: Zero Data Retention is offered on a per-provider and model basis. See the documentation for details.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
Copy link to headingWhen to Use MiniMax M2
Best for
- Agentic pipelines: Workflows that require multi-step reasoning and tool orchestration
- Cost-sensitive workloads: Production traffic that benefits from efficient MoE inference
- Autonomous agent prototyping: Iteration before committing to a larger, costlier model
- Reliable AI gateway integration: Applications where built-in observability and retry logic add reliability
Consider alternatives when
- Top benchmark scores: Your task demands the highest coding or reasoning benchmark scores
- Multimodal inputs: M2 is text-only; pick a vision-capable model when image input is part of the pipeline
- Broader language coverage: Your workflow needs the expanded languages of later M2-series generations
Copy link to headingConclusion
MiniMax M2 works as an entry point for teams exploring agentic AI. It's efficient and straightforward to integrate through AI Gateway. You get multi-step reasoning without dense-model inference costs.
Copy link to headingFrequently Asked Questions
What makes MiniMax M2 different from a standard chat model?
MiniMax M2 targets agentic workflows. It's trained for multi-step task sequences, tool calls, and autonomous decision-making rather than single-turn conversation.
How does the MoE active-parameter design affect performance?
Only 10B of the 230B total parameters activate per forward pass. That keeps inference cost proportional to the active subset while the full parameter space retains broad capability. See https://www.minimax.io/news/minimax-m2 for architecture details.
Do I need a MiniMax account to use MiniMax M2 on AI Gateway?
No. You only need an AI Gateway API key. AI Gateway handles provider authentication for you.
Can I use MiniMax M2 as a fallback model in a multi-provider setup?
Yes. AI Gateway supports configurable failover. You can route to MiniMax M2 as a primary or fallback option alongside other models.
How does MiniMax M2 compare to later models in the MiniMax series?
Later releases (M2.1, M2.5, M2.7) improved coding quality, instruction following, and task throughput. MiniMax M2 remains an option for cost-conscious agentic tasks.
What observability features does AI Gateway provide for MiniMax M2?
You can track token usage, latency, cost, and request outcomes in your project dashboard. No extra instrumentation is required in your application code.
What is the context window for MiniMax M2?
MiniMax M2 supports a context window of 205K tokens and a max output of 205K tokens per request.