Should you use minimax-m3?
minimax-m3 is listed for chat workloads and supports a 1.0M context window.
Use it when NVIDIA NIM's free tier is enough for evaluation, demos, or light production traffic.
https://integrate.api.nvidia.com/v1 minimaxai/minimax-m3 minimax-m3 is listed for chat workloads and supports a 1.0M context window.
Use it when NVIDIA NIM's free tier is enough for evaluation, demos, or light production traffic.
We only found this minimax listing on NVIDIA NIM in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | minimaxai/minimax-m3 | Free tier | 1.0M | OpenAI-style | Up to 40 RPM |
| Model | Provider | Context | Access |
|---|---|---|---|
| 01-ai/yi-large | NVIDIA NIM | 131K | Free tier |
| adept/fuyu-8b | NVIDIA NIM | 131K | Free tier |
| ai21labs/jamba-1.5-large-instruct | NVIDIA NIM | 131K | Free tier |
| aisingapore/sea-lion-7b-instruct | NVIDIA NIM | 131K | Free tier |
| baai/bge-m3 | NVIDIA NIM | 131K | Free tier |
minimax-m3 is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
minimax-m3 is listed with free API access on NVIDIA NIM, subject to the provider's quota and account policy.
The model ID shown in this catalog is minimaxai/minimax-m3.
The listed free tier limit is Up to 40 RPM. Limits can change per account tier, so confirm against the provider dashboard.
The listed context window is 1.0M tokens with up to 512K output tokens.
MiniMax multimodal model for long-context coding, perception, and agent planning
For API keys, setup steps, and provider-level limits, see the NVIDIA NIM provider page.