Tuesday, 10 November 2026 | Updating Daily AI insight, written for builders

MiniMax M3

MiniMax M3 — Specifications

Compilado por Mustafa Ihsan de la documentación publicada por el proveedor · Última actualización

Desarrollador MiniMax
Tipo LLM (MoE, coding/agentic, multimodal)
Modalidad Text, Image, Video → Text
Parámetros ~428B total / ~23B active (MoE)
Ventana de contexto 1 millón
Licencia MiniMax Community License (open weights)
Pesos abiertos Sí
Lanzado 2026-06
Precio de entrada $0.30 /1M
Precio de salida $1.20 /1M
Proveedores de API MiniMax API, OpenRouter

Benchmarks

MiniMax-reported SWE-Bench Pro 59.0%; Terminal-Bench 2.1 66.0%; MCP Atlas 74.2%; BrowseComp 83.5. Prices shown are for requests up to 512K input tokens; $0.60 / $2.40 above that.

Página oficial →

What is MiniMax M3?

MiniMax M3 is MiniMax’s large language model for coding and agentic work, released on 1 June 2026. Según MiniMax, it combines frontier-level coding and agent skills, a context window of up to 1M tokens built on its new MiniMax Sparse Attention (MSA), and native multimodality with image and video input. MiniMax says that at a 1M-token context, M3’s per-token compute is 1/20 that of the previous generation. It is a mixture-of-experts with about 428B total and 23B active parameters, and MiniMax reports 59.0% on SWE-Bench Pro and 66.0% on Terminal-Bench 2.1.

Lista de precios de la API de MiniMax lista de precios API is tiered by prompt length. For requests up to 512K input tokens, M3 costs $0.30 per million input tokens, $1.20 per million output tokens and $0.06 per million cached reads; above 512K it costs $0.60 / $2.40 ($0.12 cached). MiniMax shows these as a permanent 50% discount on list prices, and its Priority tier, for faster and more reliable admission, costs 1.5× the standard rate. MiniMax describes the API context as up to 1M tokens with a guaranteed minimum of 512K.

The weights are on Hugging Face under the MiniMax Community License: free for non-commercial use, while commercial users must display “Built with MiniMax M3” and notify MiniMax, or get written permission above $20 million in yearly revenue. On 19 October 2026 MiniMax released the cheaper M3.1-Flash ($0.15 / $0.60), now its latest M-series model; M3 remains available. Up to 512K input, M3 matches the peak price of DeepSeek V4.1-Flash. MiniMax’s video model is MiniMax H3, and the Calculadora de costos de API de IA estimates monthly costs.

MiniMax M3 pricing: API cost per 1M tokens

Entrada (por cada millón de tokens)$0.300
Salida (por cada millón de tokens)$1.20
Relación salida/entrada4×
Combinada (4:1 entrada:salida)$0.480 por 1 millón de tokens

What MiniMax M3 costs per month

Gasto mensual real con una mezcla entrada:salida de 4:1, es decir, la proporción que realmente genera una carga de trabajo típica de chat o RAG.

Carga de trabajoTokens/mesCoste mensual
Proyecto secundario 1 millón de tokens de entrada / 0,25 millones de tokens de salida $0.60
Pequeño equipo 20 millones de tokens de entrada / 5 millones de tokens de salida $12
Producción 200 millones de tokens de entrada / 50 millones de tokens de salida $120

Calcule sus propios números en la Calculadora de costos de API de IA.

Cheaper alternatives to MiniMax M3

ModeloDólares por millón combinadosUsted ahorra
Llama 3.1 8B abierta $0.0240 95% cheaper
Mistral NeMo 12B abierta $0.0292 94% cheaper
Gemma 3 4B abierta $0.0600 88% más barato

Preguntas frecuentes

How much does MiniMax M3 cost per 1M tokens?

MiniMax M3 costs $0.300 per 1M input tokens and $1.20 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.480 per 1M tokens.

How much does MiniMax M3 cost per month?

A small-team workload of 20M input and 5M output tokens a month costs about $12 on MiniMax M3. A side project (1M in / 0.25M out) costs roughly $0.60.

What is a cheaper alternative to MiniMax M3?

Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 95% less than MiniMax M3. It is also open-weight, so self-hosting is an option.

Can I run MiniMax M3 locally?

Yes. MiniMax M3 is open-weight and needs about a large amount of VRAM at 4-bit quantisation.

Why does MiniMax M3 charge more for output than input?

Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. MiniMax M3 charges 4× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.

Los precios corresponden a las tarifas oficiales publicadas para la API principal del modelo y se revisan periódicamente conforme los proveedores los actualicen. No incluyen descuentos por volumen, procesamiento por lotes ni entradas en caché. Compare todos los modelos uno al lado del otro en la Base de datos de modelos de IA o el Clasificación de modelos de lenguaje grande (LLM).

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