MiniMax M1

by MiniMax

MiniMax M1 is described by its maker as the world's first open-weight, large-scale hybrid-attention reasoning model, featuring 456 billion total parameters with 45.9 billion activated per token. Released in June 2025 under the Apache 2.0 license, it pairs a 1M-token context window with a hybrid Mixture-of-Experts architecture and a Lightning Attention mechanism. The model scores 56.0% on SWE-bench (software engineering) and 86.0% on AIME 2024 (mathematics), and leads open-weight models on tool-use benchmarks such as TAU-bench. At 80K-token reasoning lengths, Lightning Attention uses roughly 30% of the compute that DeepSeek R1 requires, enabling efficient scaling of test-time compute across deep reasoning and long-context tasks. The 80K variant provides an 80,000-token reasoning budget for extended thinking. MiniMax trained M1 with CISPO, a reinforcement learning algorithm it reports converges about twice as fast as alternatives, completing training in three weeks on 512 H800 GPUs.

Key info

Input
Output
Features
Context window
1M
Max output
40K
Input price
$0.55 /1M
Output price
$2.20 /1M
  • US residency available
  • Zero data retention via Enterprise
  • No training by default
  • GDPR DPA available

Available routes

MiniMax M1 runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USEnterpriseNo$0.55$2.20

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting MiniMax M1 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Novita β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Abuse monitoring
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
SCCs

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#223 of 534 LLMs
TierEfficient
Output speed0 tok/s
First token0.00s
Intelligence Index17.7
Math Index61.0
Reasoning & knowledge
MMLU-Pro
82%
GPQA Diamond
70%
Humanity's Last Exam
8%
Long-context reasoning
54%
Coding
LiveCodeBench
71%
SciCode
37%
Agentic & tool use
Terminal-Bench Hard
3%
τ²-Bench Telecom
34%
Math & instruction following
AIME 2025
61%
IFBench
42%

Get started

Call MiniMax M1 through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β€” Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into your coding agent β€” Claude Code, Cursor, Codex, and more β€” and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.click/v3/compat",
});
const completion = await client.chat.completions.create({
model: "novita/minimaxai/minimax-m1-80k",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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MiniMax M1 by MiniMax β€” pricing, benchmarks | Opper AI