---
title: "MiniMax: MiniMax M1 — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/minimax__minimax-m1/
description: "MiniMax: MiniMax M1: $0.550/M in, $2.20/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# MiniMax: MiniMax M1 — price, capability and what beats it · Undominated.ai

> MiniMax: MiniMax M1: $0.550/M in, $2.20/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / MiniMax

# MiniMax M1

MiniMax · released 2025-06-17

 $0.963 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## No independent quality score.

No benchmark we track has measured this model. That is not the same as measuring it and finding it wanting — we simply cannot rank it, so we do not.

### Every price dimension

| Input | $0.550 /M |
| --- | --- |
| Output | $2.20 /M |

### Independent scores

| LMArena Elo | 1341.9 default |
| --- | --- |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

### Capability

| Context window | 1M |
| --- | --- |
| Max output | 40K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |
| Knowledge cutoff | 2024-06-30 |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | unrated |

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...