MiniMax
26 models across 7 families · Latest: MiniMax M3.1 Flash Preview (2026-09)
Developing AI for gaming and entertainment.
MiniMax's portfolio covers 25 active models across 6 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 7 workload areas across 25 active tracked models; last verified 2026-09-28.
Use it for
- Teams evaluating coding, rag, and agents across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 25 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
25
Current models from this lab, excluding deprecated ones
Active families
6
Current model families from this lab
Open catalog
17 open
15 open source / 2 open weights
Lowest output price
$0.900 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-09-27
MiniMax M3.1 Flash Preview
Freshness
2026-09-28
Researched 2d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- MiniMax M3.1 Flash Preview
- Latest date
- 2026-09-27
Where this lab wins
- Coding: 5 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 8 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 5 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 15 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
- Flagship
- MiniMax M3
- Selection source
- Best sourced coding Q/$
- Coding grade
- C
- Benchmark / output price
- swe-bench-pro 59 · $1.20/1M
About
MiniMax is a Chinese AI company that specializes in developing AI technologies for the gaming and entertainment industries. Their work focuses on creating intelligent game agents, procedural content generation, and player behavior analysis to enhance gaming experiences and drive innovation. For example, MiniMax's AI can power non-player characters (NPCs) that exhibit more realistic and adaptive behaviors, making game worlds feel more immersive and dynamic. Their procedural content generation techniques can create endless variations of game levels, quests, and items, ensuring a fresh experience for players.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| MiniMax M3.1 Flash Preview | 2026-09-27 | 1m | - | - | Proprietary | Proprietary |
| MiniMax M3 | 2026-06-01 | 1m | $0.30 | $1.20 | MiniMax Community License | Open weights |
| MiniMax M2.7 | 2026-03-18 | 205k | $0.279 | $1.2 | MIT | Open source |
Model families
Recent releases
- MiniMax M3.1 Flash Preview- 2026-09-27
- MiniMax M3- 2026-06-01
- MiniMax M2.7- 2026-03-18
- MiniMax M2.7 Highspeed- 2026-03-18
- MiniMax M2-her- 2026-03-01
Top comparisons
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Last reviewed: 2026-09-28. Data sourced from public lab announcements and provider documentation.