Microsoft · Official-source model record
MAI-DS-R1
MAI
Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.
Coverage & sources ↗Current catalog answers
What to know about MAI-DS-R1
AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.
Which MAI-DS-R1 does this page describe?
MAI-DS-R1 is a model record from Microsoft in the MAI family. Source
A separate version identifier is not documented in this record; the model name alone does not establish which snapshot a service runs.
How can you access MAI-DS-R1?
The catalog documents Open weights access for MAI-DS-R1. Source
As of the catalog check, this version was listed without confirmed general availability. Source
Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement.
What can MAI-DS-R1 receive and generate?
Documented inputs: text. Source
Documented outputs: text. Source
Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.
What license is recorded for MAI-DS-R1?
The recorded license label is mit. Source
Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.
What is documented about the MAI-DS-R1 checkpoint?
This evidence refers to microsoft/MAI-DS-R1 at recorded revision a96d011a7111dcde61096468ebeeda8068735809, checked October 23, 2026. Repository metadata
Safetensors metadata records 671,026,419,200 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata
Recorded architecture class: DeepseekV3ForCausalLM. Repository metadata
Repository task tag: text-generation. A task tag identifies a distribution category; it does not measure performance on that task. Repository metadata
Listed library: transformers. Check that library's version and model support before loading the weights. Repository metadata
Repository access gate: false. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata
What the configuration file says
The pinned config.json contains these values. Pinned configuration
max_position_embeddings- 163,840
rope_scaling- {"beta_fast":32,"beta_slow":1,"factor":40,"mscale":1,"mscale_all_dim":1,"original_max_position_embeddings":4096,"type":"yarn"}
torch_dtype- bfloat16
num_attention_heads- 128
num_key_value_heads- 128
num_hidden_layers- 61
hidden_size- 7,168
Configuration values describe the checkpoint and its implementation. In particular, max_position_embeddings, sliding_window and rope_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior.
Read the retrieved model card for setup and qualifications. Model card
Keep the exact version in view
Other MAI models from Microsoft.
These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.
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MAI-Thinking-1
API
The documented record
Specifications, with their sources.
A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.
- Publisher
- MicrosoftSource ↗
- Family
- MAISource ↗
- Version
- Not documented
- Availability
- Listed by publisherSource ↗
- Access
- Open weightsSource ↗
- Inputs
- TextSource ↗
- Outputs
- TextSource ↗
- Context window
- Not documented
- Maximum input
- Not documented
- Maximum output
- Not documented
- Knowledge cutoff
- Not documented
- Training-data cutoff
- Not documented
- Training completed
- Not documented
- Release date
- Not documented
- License
- mitSource ↗
- Input price / 1M tokens
- Not documented
- Output price / 1M tokens
- Not documented
Read this with the numbers.
Official publisher model repository; listed status confirms a catalog entry, not a verified hosted API service. Publisher repository evidence (2026-10-23): Publisher task label: text-generation. Published architecture metadata: DeepseekV3ForCausalLM. Repository library label: transformers. Published safetensors metadata counts 671,026,419,200 stored parameters; this is not an active-parameter count for mixture-of-experts models. Published configuration: max_position_embeddings=163840; dtype=bfloat16; 61 hidden layers. The configuration includes explicit RoPE scaling ({"beta_fast":32,"beta_slow":1,"factor":40,"mscale":1,"mscale_all_dim":1,"original_max_position_embeddings":4096,"type":"yarn"}); no effective context extension is inferred. Checkpoint configuration is not a verified hosted serving limit; context and output limits remain separate documented fields.
Model identifiers and aliases 1
microsoft/MAI-DS-R1
Follow the evidence
Official sources.
- MAI-DS-R1 — official model card ↗huggingface.co
- MAI-DS-R1: official publisher repository metadata ↗huggingface.co
- MAI-DS-R1: publisher model card at revision a96d011a7111 ↗huggingface.co
- MAI-DS-R1: published checkpoint configuration at revision a96d011a7111 ↗huggingface.co