MiniMax: MiniMax M1

Public pricingIntelligence 76/100Huge memory심층 추론도구 활용

MiniMax: MiniMax M1은 추론과 문제 해결에 맞춘 텍스트 모델입니다. 깊은 추론과 계획、낮은 지연과 효율적 추론, 1M+ tokens의 컨텍스트, 균형형 비용 특성을 결합해 reasoning, analysis, and hard problem solving에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.40/1M

Output

$2.20/1M

Cached

$0.04/1M

Batch

$0.20/1M

Calculate your MiniMax M1 bill.

Set your workload — see cost at your exact volume.

What would MiniMax M1 cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

MiniMax M1 at a glance.

Memory

1,000,000

tokens

Max reply

40,000

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

—

Released

Jun 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

livecodebench
65
swe_bench_verified
56

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick MiniMax M1

Multi-step reasoning, research agents, or hard math.
Agentic workflows that call tools or APIs.
Long documents, full codebases, or extensive chat histories.
High-volume workloads where unit cost matters.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

MiniMax M1 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, MiniMax M1 costs roughly $118 per month. Input is $0.40 /1M tokens and output is $2.20 /1M tokens.

MiniMax M1 has a 1,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,500 words of input and history in a single call.

Beyond text generation, MiniMax M1 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.

MiniMax M1 was released in June 2025, with training data cut off around June 2024.

Models in a similar class include MiMo-V2-Omni, Qwen3.5 397B A17B, GLM 4.6. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare MiniMax M1 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

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