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Is there an AI for this?

Model

MiniMax M2.5

Recorded as suitable for chat, rag, reasoning, zh, vision, agentic.

Source
Model registry API
Verified
19 Sep 2026
Confidence
High

01What this is

Author
MiniMaxAI
Family
MiniMax M2.5
Task
vision-language
Hugging Face
MiniMaxAI/MiniMax-M2.5
OpenRouter
minimax/minimax-m2.5
Also known as
MiniMax M2.5, minimax-m2.5, minimax m2

02Registry facts

19 Sep 2026
LicenceFACT

other

FreshRetrieved 19 Sep 2026
ParametersFACT

228.7B

FreshRetrieved 19 Sep 2026
Context lengthFACT

not returned by the registry

Evidence not verified
Downloads (30 days)FACT

332,890

FreshRetrieved 19 Sep 2026
LikesFACT

1,507

FreshRetrieved 19 Sep 2026
GatedFACT

no

FreshRetrieved 19 Sep 2026

Model

downloadsFACT

332890

Verification may be outdatedRetrieved 19 Sep 2026
gatedFACT

false

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · AtlasCloudFACT

196608

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · StreamLakeFACT

200000

Verification may be outdatedRetrieved 19 Sep 2026
hosted context length · VeniceFACT

198000

Verification may be outdatedRetrieved 19 Sep 2026
likesFACT

1507

Verification may be outdatedRetrieved 19 Sep 2026
model licenseFACT

other

Verification may be outdatedRetrieved 19 Sep 2026
parameter countFACT

228703644928

Verification may be outdatedRetrieved 19 Sep 2026

Pricing

hosted price completion per m · AtlasCloudFACT

1.2000

AgeingRetrieved 19 Sep 2026
hosted price completion per m · StreamLakeFACT

1.0800

AgeingRetrieved 19 Sep 2026
hosted price completion per m · VeniceFACT

0.9500

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · AtlasCloudFACT

0.2950

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · StreamLakeFACT

0.2700

AgeingRetrieved 19 Sep 2026
hosted price prompt per m · VeniceFACT

0.2700

AgeingRetrieved 19 Sep 2026

Other

available on platform · awsFACT

aws

The source document changed after this was recorded; it is queued for re-checking.

Verification may be outdatedRetrieved 19 Sep 2026
last modifiedFACT

2026-03-10T13:42:23.000Z

Verification may be outdatedRetrieved 19 Sep 2026
libraryFACT

transformers

AgeingRetrieved 19 Sep 2026

03VRAM by quantisation

ASSESSMENT

Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: 228.7B parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).

Decimal GB (10⁹ bytes), matching how GPU memory is advertised.
QuantisationWeightsTotal
bf16bf16 is two bytes per weight, the same arithmetic as fp16.457.41 GB543.31 GB
fp8228.7 GB280.3 GB
int4114.35 GB148.79 GB

What this estimate assumes

  • Weights: 228.7B parameters × 2 bytes per parameter (fp16) = 457.41 GB.
  • No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.459 MB per token, from extrapolated above 90B — no configuration was fetched for this band.
  • KV cache: 0.459 MB per token × 8,192 tokens of context × 4 concurrent requests = 15.03 GB, sized for every user holding a full context at once.
  • Overhead: 15% of weights plus KV cache for the runtime, activations and memory fragmentation = 70.87 GB.
  • GB means 10⁹ bytes, matching how GPU memory is advertised.
  • KV cache held at fp16 (2 bytes per element); quantising weights does not by itself quantise the cache.
  • Peak figure, not average: prefix caching and paged attention usually keep real usage lower, while speculative decoding, CUDA graphs and a second resident model push it higher.
  • "Concurrent" counts requests generated at the same instant, not people: 4 simultaneous requests is the worst case this estimate is built on — measure yours before buying.

04Hardware profiles

No hardware profile was sized for this answer.


05Hosted providers

Prompt (per million tokens, USD)FACT

0.27

Source: openrouter

FreshRetrieved 19 Sep 2026
Completion (per million tokens, USD)FACT

0.95

FreshRetrieved 19 Sep 2026
ProviderContext
Venice198,000
StreamLake200,000
AtlasCloud196,608
DigitalOcean65,536
Friendli196,608
Novita204,800

06Deployment stacks

0 using it

No published deployment stack names this model yet.


07Evidence

16 verified
  1. 01
    Tier 2official vendor legal documentationVendor legal and technical documentation

    Models at a glance - Amazon Bedrock

    https://docs.aws.amazon.com/bedrock/latest/userguide/model-cards.html

    AgeingRetrieved 19 Sep 2026sha256:4c3b2b576226

    1 record

  2. 02–10
    Tier 4official repository / model cardOpenRouter

    OpenRouter endpoints — minimax/minimax-m2.5

    https://openrouter.ai/api/v1/models/minimax/minimax-m2.5/endpoints

    AgeingRetrieved 19 Sep 2026sha256:78d575ee181e

    9 records · · · · · · · ·

  3. 11–17
    Tier 4official repository / model cardHugging Face Hub

    Hugging Face model card data — MiniMaxAI/MiniMax-M2.5

    https://huggingface.co/api/models/MiniMaxAI/MiniMax-M2.5

    AgeingRetrieved 19 Sep 2026sha256:2d35cd386222

    7 records · · · · · ·

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