Minimax Models

Q: Which Minimax model should I start with?

coding-minimax-m2-free is free on input — the cheapest entry here that declares tool calling, and it carries a 205K context. Move up to MiniMaxAI/MiniMax-M1-80k when answer quality matters more than cost, or to coding-minimax-m3-free for long-form reasoning.

Q: How is cached input billed?

The Cache read column is the rate for input tokens served from the prompt cache — for example minimax-m3.1-flash bills cache hits at 10% of the input rate and alicloud-minimax-m2.5 bills cache hits at 20% of the input rate. Cache write is the surcharge for putting a prompt into the cache in the first place, and only a few upstreams bill it separately. A dash in either column means the catalog carries no cache rate for that model, so plan on paying the full input rate.

33 modelsGeneral models free to startUp to 1M context

Usage

Last 30 days · 2026-10-06 to 2026-11-04

Tokens

40.8B

Requests

402K

Models in use

32 of 33

Tokens per day, stacked by model

coding-minimax-m3
minimax-m3.1-flash
coding-minimax-m2.7-highspeed
coding-minimax-m3-free
minimax-m3
cc-minimax-m2.7
minimax-m2.7
coding-minimax-m2.7
20 more models

Which models that traffic went to

Share of 40.8B tokens. 4 models with traffic report no token counts and cannot be ranked here, including minimax-h3 and minimax-h3-max — 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 33 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 33 Minimax Models

Open in model list

Minimax 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
coding-minimax-m3-free	Takes text, vision, video, returns text.	1M	524K	FreeFree/M	—	89 tok/s	1.62 s
cc-minimax-m3	Takes text, vision, video, returns text.	1M	524K	$0.1$0.1/M	—	99 tok/s	1.24 s
MiniMax-Text-01	Takes text, returns text.	1M	—	$0.14$1.12/M	—	29 tok/s	1.54 s
minimax-m3.1-flash	Takes text, vision, video, returns text.	1M	524K	$0.165$0.66/M	$0.0165/M	85 tok/s	1.82 s
coding-minimax-m3	Takes text, vision, video, returns text.	1M	524K	$0.2$0.2/M	—	97 tok/s	1.63 s
minimax-m3	Takes text, vision, video, returns text.	1M	524K	$0.288$1.152/M	—	59 tok/s	1.66 s
coding-minimax-m2-free	Takes text, returns text.	205K	—	FreeFree/M	—	89 tok/s	1.37 s
coding-minimax-m2.1-free	Takes text, returns text.	205K	—	FreeFree/M	—	43 tok/s	1.40 s
coding-minimax-m2.5-free	Takes text, returns text.	205K	—	FreeFree/M	—	78 tok/s	1.01 s
coding-minimax-m2.7-free	Takes text, returns text.	205K	—	FreeFree/M	—	78 tok/s	2.15 s
minimax-m2.7-free	Takes text, returns text.	205K	—	FreeFree/M	—	—	—
cc-minimax-m2.1	Takes text, returns text.	205K	—	$0.1$0.1/M	—	39 tok/s	0.51 s
cc-minimax-m2.5	Takes text, returns text.	205K	—	$0.1$0.1/M	—	15 tok/s	0.83 s
cc-minimax-m2.5-highspeed	Takes text, returns text.	205K	—	$0.1$0.1/M	—	5 tok/s	0.60 s
cc-minimax-m2.7	Takes text, returns text.	205K	—	$0.1$0.1/M	—	94 tok/s	2.06 s
cc-minimax-m2.7-highspeed	Takes text, returns text.	205K	—	$0.1$0.1/M	—	1 tok/s	5.22 s
mm-minimax-m2.7-highspeed	Takes text, returns text.	205K	—	$0.1$0.1/M	—	10 tok/s	0.72 s
coding-minimax-m2	Takes text, returns text.	205K	—	$0.2$0.2/M	—	46 tok/s	2.10 s
coding-minimax-m2.1	Takes text, returns text.	205K	—	$0.2$0.2/M	—	79 tok/s	0.53 s
coding-minimax-m2.5	Takes text, returns text.	205K	—	$0.2$0.2/M	—	40 tok/s	0.68 s
coding-minimax-m2.5-highspeed	Takes text, returns text.	205K	—	$0.2$0.2/M	—	84 tok/s	1.01 s
coding-minimax-m2.7	Takes text, returns text.	205K	—	$0.2$0.2/M	—	12 tok/s	0.68 s
coding-minimax-m2.7-highspeed	Takes text, returns text.	205K	—	$0.2$0.2/M	—	75 tok/s	1.70 s
minimax-m2.1	Takes text, returns text.	205K	—	$0.288$1.152/M	—	—	—
minimax-m2.5	Takes text, returns text.	205K	—	$0.288$1.152/M	—	39 tok/s	9.23 s
minimax-m2.5-highspeed	Takes text, returns text.	205K	—	$0.288$1.152/M	—	14 tok/s	1.34 s
minimax-m2.7	Takes text, returns text.	205K	—	$0.2958$1.1832/M	$0.0592/M	24 tok/s	2.74 s
minimax-h3	Takes text, vision, audio, video, returns video.	—	—	FreeFree/M	—	—	—
minimax-h3-max	Takes text, vision, returns video.	—	—	FreeFree/M	—	—	—
cc-MiniMax-M2	Takes text, returns text.	—	—	$0.1$0.1/M	—	8 tok/s	0.92 s
cc-minimax-m2	Takes text, returns text.	—	—	$0.1$0.1/M	—	8 tok/s	0.92 s
alicloud-minimax-m2.5	Takes , returns text.	—	—	$0.2876$1.1504/M	$0.0575/M	62 tok/s	1.06 s
MiniMaxAI/MiniMax-M1-80k	Takes , returns text.	—	—	$0.6$2.4/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

MiniMax-Text-01 vs MiniMaxAI/MiniMax-M1-80kMiniMax-Text-01 vs alicloud-minimax-m2.5MiniMax-Text-01 vs cc-MiniMax-M2MiniMax-Text-01 vs qwen3.8-max-previewMiniMax-Text-01 vs kimi-k3

Minimax on AIHubMix

Which Minimax model should I start with?

coding-minimax-m2-free is free on input — the cheapest entry here that declares tool calling, and it carries a 205K context. Move up to MiniMaxAI/MiniMax-M1-80k when answer quality matters more than cost, or to coding-minimax-m3-free for long-form reasoning.

Which of these models reason before answering?

18 of the 33 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-), some are the open-weight repository form (MiniMaxAI/…), 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.

How is cached input billed?

The Cache read column is the rate for input tokens served from the prompt cache — for example minimax-m3.1-flash bills cache hits at 10% of the input rate and alicloud-minimax-m2.5 bills cache hits at 20% of the input rate. Cache write is the surcharge for putting a prompt into the cache in the first place, and only a few upstreams bill it separately. A dash in either column means the catalog carries no cache rate for that model, so plan on paying the full input rate.

Do I need a separate Minimax 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.