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MiniMax is the Shanghai lab’s flagship language model family, including MiniMax-Text and MiniMax-M1. Recent releases are open weight and compete on long-context and agent benchmarks.
See all models from MiniMaxModels in family
7
Open weight
4
API only
3
Avg score
60.7
Top benchmark
92.9
GPQA
Total HF downloads
1.4M
Primary modality
Text
Context window
205K – 1.0M
First release
Oct 2025
Latest release
Nov 2026
Every release in the MiniMax family, ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | MiniMax Speech 2.6API | audio | BB65.7 | — | Oct 2025 |
| 2 | text | BB63.7 | 230B | Feb 2026 | |
| 3 | image | BB62.7 | — | Nov 2026 | |
| 4 | MiniMax M2.7API | text | BB61.1 | — | Feb 2026 |
| 5 | text | BB60.7 | 428B | Jun 2026 | |
| 6 | MiniMax Music 2.6API | audio | BB57.8 | — | Apr 2026 |
| 7 | text | CC53.3 | — | Oct 2026 |
When a family spans multiple modalities, the strongest model in each one.
How the family splits across text, image, video, audio, embedding, and decision releases.
When each release shipped, newest first. Useful for tracking version cadence.
Nov 10
Oct 19
Jun 1
Apr 10
Feb 28
Feb 11
Oct 30
Composite grades across this family. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | text | BB63.7 | 230B | Feb 2026 | |
| 2 | image | BB62.7 | — | Nov 2026 | |
| 3 | text | BB60.7 | 428B | Jun 2026 | |
| 4 | text | CC53.3 | — | Oct 2026 |
Closed-source releases accessed through MiniMax’s API.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | MiniMax Speech 2.6API | audio | BB65.7 | — | Oct 2025 |
| 2 | MiniMax M2.7API | text | BB61.1 | — | Feb 2026 |
| 3 | MiniMax Music 2.6API | audio | BB57.8 | — | Apr 2026 |
The MiniMax family is a series of AI models from MiniMax. This page lists every release in the family with its benchmark scores, parameter count, and hardware requirements.
By composite score, minimax-m2.5 is currently the top model in the family. For local inference, match the parameter count to your VRAM budget. For quality, pick the highest scorer that fits.
See the open-weight section above for models you can run locally. The API-only section lists closed releases that must be accessed through the provider’s API.
Spin up an instance in the cloud, or pick local hardware that fits.
Advertising disclosure: we earn commissions when you shop through the links below.
Vast.ai
Decentralized GPU marketplace with the lowest hourly prices.
RunPod
Pay-per-second GPU rentals starting at $0.20/hr.
Digital Ocean
Spin up a GPU droplet in minutes, starting at $0.75/hr.
Vultr
GPU cloud with hourly and monthly plans, starting at $0.50/hr.
GPU Mart
Dedicated GPU servers and VPS billed monthly, starting at $0.50/hr.
PPQ.ai
Multi-model inference gateway for production workloads.
Find Local Hardware
See which GPU, Mac, or workstation can run MiniMax on-prem.
Local LLM Mini PCs
Compact machines that run MiniMax on your desk. Chosen for local inference.
Benchmark data sourced from: Hugging Face, Arena.ai, Artificial Analysis.
