MiniMax-M2.1 API

minimax/m2-1
Lightweight. Code-Optimized. Agentic-Ready.
Context
204K tokens
Input
$0.39 / 1M tokens
Output
$1.56 / 1M tokens

How to use MiniMax-M2.1 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to minimax/m2-1.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "minimax/m2-1",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "minimax/m2-1",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"minimax/m2-1","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

MiniMax-M2.1 API Pricing

TypePrice
Input
$0.39 / 1M tokens
Output
$1.56 / 1M tokens
Cached input
$0.39 / 1M tokens

MiniMax-M2.1 Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Humanity's Last Exam
22.2%
Expert-level questions across many domainsSourceJuly 8, 2026
LiveCodeBench
81%
Contamination-free competitive programming problemsSourceJuly 8, 2026
AIME 2025
83%
Competition mathematics (AIME), 2025SourceJuly 8, 2026
GPQA Diamond
83%
Google-proof graduate science questions (hardest subset)SourceJuly 8, 2026
Terminal-Bench
47.9%
Autonomous shell/terminal task completionSourceJuly 8, 2026
SWE-bench Verified
74%
Resolving verified real GitHub issuesSourceJuly 8, 2026
Intelligence
20.9
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Math
82.7
Composite score across standardised mathematics evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

MiniMax-M2.1 vs other models

ModelInputOutputContextBest for
MiniMax-M2.1
This page
$0.39 / 1M tokens
$1.56 / 1M tokens
204K tokens
Coding + agents
$6.5 / 1M tokens
$39 / 1M tokens
1.05M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$0.65 / 1M tokens
$3.9 / 1M tokens
1.05M tokens
Reasoning + agents

Frequently asked questions

MiniMax-M2.1 has a 204,000 tokens context window and can return up to 204,000 tokens.

MiniMax-M2.1 takes image, text as input and returns text.

Use minimax/m2-1 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

MiniMax-M2.1 is priced at input $0.39 / 1M tokens, output $1.56 / 1M tokens, cached input $0.39 / 1M tokens.

Yes, MiniMax-M2.1 can stream responses as they are generated.

Yes, MiniMax-M2.1 accepts image input alongside text.

MiniMax-M2.1 was built by MiniMax.

Start building with MiniMax-M2.1

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