Microsoft Models

Q: Which Microsoft model should I start with?

mai-image-2.5 is free on input — the cheapest entry here that declares a token price. Move up to ahm-Phi-3-medium-128k when answer quality matters more than cost, or to mai-thinking-1 for long-form reasoning.

16 modelsGeneral models free to startUp to 256K context

Usage

Last 30 days · 2026-10-02 to 2026-10-31

Tokens

188M

Requests

4.6K

Models in use

16 of 16

Tokens per day, stacked by model

mai-thinking-1
mai-image-2.6
mai-image-2.6-flash
mai-image-2.5-flash
mai-image-2.5
mai-image-2.5-pro

Which models that traffic went to

Share of 188M tokens. 10 models with traffic report no token counts and cannot be ranked here, including aihub-Phi-4 and aihub-Phi-4-multimodal-instruct — they are in the request view.

The two views disagree on purpose: a model can take a large share of the calls and a small share of the tokens — many short requests — or the reverse. Which one matters depends on whether your cost is driven by call volume or by prompt length. Measured on AIHubMix over the last 30 days, counting the 16 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 16 Microsoft Models

Open in model list

Microsoft models on AIHubMix with input and output modalities, context length, maximum output, price per million tokens including cache read and cache write rates, and measured throughput and latency.
	Modalities
mai-thinking-1	Takes text, returns text.	256K	64K	$2$8/M	52 tok/s	20.31 s
aihub-Phi-4-mini-instruct	Takes text, returns text.	128K	4K	$0.12$0.48/M	—	—
aihub-Phi-4-multimodal-instruct	Takes text, vision, audio, returns text.	128K	4K	$0.12$0.48/M	—	—
AiHubmix-Phi-4-mini-reasoning	Takes text, returns text.	128K	4K	$0.12$0.12/M	—	—
mai-image-2.6	Takes text, vision, returns vision.	32K	4K	FreeFree/M	—	—
mai-image-2.6-flash	Takes text, vision, returns vision.	32K	4K	FreeFree/M	—	—
aihub-Phi-4	Takes text, returns text.	16K	—	$0.12$0.48/M	46 tok/s	0.41 s
mai-image-2.5	Takes text, vision, returns vision.	—	—	FreeFree/M	—	—
mai-image-2.5-flash	Takes text, vision, returns vision.	—	—	FreeFree/M	—	—
mai-image-2.5-pro	Takes text, vision, returns vision.	—	—	FreeFree/M	—	—
ahm-Phi-3-5-MoE-instruct	Takes , returns text.	—	—	$0.4$1.6/M	—	—
ahm-Phi-3-5-vision-instruct	Takes text, vision, returns text.	—	—	$0.4$1.6/M	—	—
ahm-Phi-3-5-mini-instruct	Takes , returns text.	—	—	$1$3/M	—	—
ahm-Phi-3-medium-4k	Takes , returns text.	—	—	$1$3/M	—	—
ahm-Phi-3-small-128k	Takes , returns text.	—	—	$1$3/M	—	—
ahm-Phi-3-medium-128k	Takes , returns text.	—	—	$6$18/M	—	—

Prices are USD per million tokens; cache read and cache write are the rates for prompt-cache hits and for writing a prompt into the cache. Throughput and latency are measured on AIHubMix — the same figures the model detail page shows — not vendor claims. A dash means the catalog does not publish that field for that model, which is not the same as the model not supporting it.

Common Comparisons

AiHubmix-Phi-4-mini-reasoning vs ahm-Phi-3-5-MoE-instructAiHubmix-Phi-4-mini-reasoning vs ahm-Phi-3-5-mini-instructAiHubmix-Phi-4-mini-reasoning vs ahm-Phi-3-5-vision-instructAiHubmix-Phi-4-mini-reasoning vs qwen3.8-max-previewAiHubmix-Phi-4-mini-reasoning vs kimi-k3

Microsoft on AIHubMix

Which Microsoft model should I start with?

mai-image-2.5 is free on input — the cheapest entry here that declares a token price. Move up to ahm-Phi-3-medium-128k when answer quality matters more than cost, or to mai-thinking-1 for long-form reasoning.

Which of these models reason before answering?

1 of the 16 models here declare a reasoning phase — they work through the problem before producing an answer, which helps on multi-step problems at the cost of extra output tokens. Use the Reasoning filter above the table to see them. The catalog does not record anything further about how they differ, so this page does not sort them into families.

Why are there several entries for the same model?

Because each row is a route you can call, not a model release. Some IDs name an upstream (azure-, alicloud-, cc-), and some differ only in capitalisation, kept so older integrations keep working.

The catalog does not carry a field saying which of those a given row is, so this page does not sort them into buckets it would have to invent. Every row shows that route’s own price, context and speed — compare those directly, and open a model to see the upstreams that serve it.

Do I need a separate Microsoft account?

No. One AIHubMix key covers every model on this page, and switching between them is a change to the model string — billing, rate limits, and logs stay in one place.