MiniMax M3 — Specifications
Rédigé par Mustafa Ihsan d’après la documentation officielle du fournisseur · Dernière mise à jour
| Développeur | MiniMax |
|---|---|
| Type | LLM (MoE, coding/agentic, multimodal) |
| Modalité | Text, Image, Video → Text |
| Paramètres | ~428B total / ~23B active (MoE) |
| Fenêtre de contexte | 1 million |
| Licence | MiniMax Community License (open weights) |
| Poids ouverts | Oui |
| Publié | 2026-06 |
| Prix de l’entrée | $0.30 /1M |
| Prix de la sortie | $1.20 /1M |
| Fournisseurs d'API | MiniMax API, OpenRouter |
Résultats de référence
| 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. |
|---|
What is MiniMax M3?
MiniMax M3 is MiniMax’s large language model for coding and agentic work, released on 1 June 2026. Selon 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.
liste de prix liste de tarification 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 Calculateur de coûts pour les API IA estimates monthly costs.
MiniMax M3 pricing: API cost per 1M tokens
| Entrée (par million de jetons) | $0.300 |
|---|---|
| Sortie (par million de jetons) | $1.20 |
| Ratio sortie/entrée | 4× |
| Moyenne pondérée (4:1 entrée:sortie) | $0.480 par 1 million de jetons |
What MiniMax M3 costs per month
Dépense mensuelle réelle pour un ratio entrée-sortie de 4:1 — le rapport effectivement observé dans une charge de travail type (chat ou RAG).
| Charge de travail | Jetons/mois | Coût par mois |
|---|---|---|
| Projet secondaire | 1 million en entrée / 0,25 million en sortie | $0.60 |
| Petite équipe | 20 millions en entrée / 5 millions en sortie | $12 |
| Production | 200 millions en entrée / 50 millions en sortie | $120 |
Calculez vos propres coûts dans le Calculateur de coûts pour les API IA.
Cheaper alternatives to MiniMax M3
| Modèle | Coût combiné par million de dollars | Vous économisez |
|---|---|---|
| Llama 3.1 8B ouverte | $0.0240 | 95% cheaper |
| Mistral NeMo 12B ouverte | $0.0292 | 94% cheaper |
| Gemma 3 4B ouverte | $0.0600 | 88% moins cher |
Questions fréquemment posées
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.
Les prix indiqués correspondent aux tarifs publics officiels pour l’API principale du modèle et sont mis à jour régulièrement à mesure que les fournisseurs les modifient. Les remises liées aux volumes, aux traitements par lots ou aux entrées mises en cache ne sont pas prises en compte. Comparez tous les modèles côte à côte dans le Base de données des modèles IA ou le Classement des grands modèles linguistiques (LLM).