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

MiniMax M3

MiniMax M3 — Specifications

Compilado por Mustafa Ihsan da documentação publicada pelo fornecedor · Última atualização

Desenvolvedor MiniMax
Tipo LLM (MoE, coding/agentic, multimodal)
Modalidade Text, Image, Video → Text
Parâmetros ~428B total / ~23B active (MoE)
Janela de contexto 1 milhão
Licença MiniMax Community License (open weights)
Pesos abertos Sim
Lançado 2026-06
Preço da entrada $0.30 /1M
Preço da saída $1.20 /1M
Provedores 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. Segundo a 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.

da MiniMax lista de preços de 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 custos de API de IA estimates monthly costs.

MiniMax M3 pricing: API cost per 1M tokens

Entrada (por 1 milhão de tokens)$0.300
Saída (por 1 milhão de tokens)$1.20
Razão saída/entrada4×
Misturada (4:1 entrada:saída)$0.480 por 1 milhão de tokens

What MiniMax M3 costs per month

Gasto mensal real com uma proporção de entrada para saída de 4:1 — a razão efetivamente gerada por cargas de trabalho típicas de chat ou RAG.

Carga de trabalhoTokens/mêsCusto por mês
Projeto paralelo 1 milhão de tokens de entrada / 0,25 milhão de tokens de saída $0.60
Equipe pequena 20 milhões de tokens de entrada / 5 milhões de tokens de saída $12
Produção 200 milhões de tokens de entrada / 50 milhões de tokens de saída $120

Calcule seus próprios números na Calculadora de custos de API de IA.

Cheaper alternatives to MiniMax M3

ModeloCusto médio ponderado por US$ 1 milhãoVocê economiza
Llama 3.1 8B aberta $0.0240 95% cheaper
Mistral NeMo 12B aberta $0.0292 94% cheaper
Gemma 3 4B aberta $0.0600 88% mais barato

Perguntas frequentes

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.

Os preços correspondem às tarifas listadas oficialmente para a API principal do modelo e são revisados conforme os provedores os atualizam. Descontos por volume, processamento em lote ou entradas em cache não estão incluídos. Compare todos os modelos lado a lado na Banco de dados de modelos de IA ou o Ranking de LLMs.

Scroll to Top