Models/MiniMax/MiniMax-01

MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

01

Identity

1,000,192Context in
1,000,192Context out
2025-01-15 (OpenRouter created 1736915462)Released
OpenWeights
Canonical name
MiniMax-01
Aliases
minimax/minimax-01, MiniMaxAI/MiniMax-Text-01
Continuum hosted id
Not listed as a Continuum hosted id
OpenRouter slug
minimax/minimax-01
Hugging Face
MiniMaxAI/MiniMax-Text-01
Modalities
text, image
Open weights Not on Continuum host list Open

Context window on the 2026-08-19 OpenRouter row: 1,000,192 tokens.

Max completion tokens on that row: 1,000,192.

Input / output on that row: $0.20 / $1.10 per 1M tokens.

Architecture fields: text+image->text · Other.

Hugging Face id on that row: MiniMaxAI/MiniMax-Text-01.

02

Should I use this for coding agents

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding.

When you want the 2025-01-15 catalog SKU, not a later rename.

No independent row for this SKU

No independent board lists this exact SKU as of 2026-08-19.

Closest benchmarked sibling: MiniMax M3, 42.72% Vals Index on the vals.ai hero index board. That is a score for the sibling, not for this SKU.

Boards checked: DeepSWE official (2026-08-13), Artificial Analysis Intelligence Index, vals.ai hero index. Every card that does carry a row is on the coding leaderboard.

DeepSWE

No official DeepSWE mini-swe-agent row for this identity on the public board we fetched.

omitted, not invented as of 2026-08-13 source
Artificial Analysis

No Intelligence Index integer fetched for this identity. Chip omitted.

omitted, not invented as of 2026-08-19 source
Vals Index

We did not open a vals.ai card for this identity. Chip omitted.

omitted, not invented as of 2026-08-19 source
03

When not to use it

Trust this before you buy

  • When you need a Continuum-hosted SKU from this lab, use the hosted card on this hub instead of this catalog row.
  • $0.20 in / $1.10 out per 1M on the 2026-08-19 OpenRouter row. Context 1,000,192 in / 1,000,192 out.
  • Need a denser published sibling on this hub? MiniMax M3 is the card already on the cluster.
  • When the job needs a published DeepSWE, Artificial Analysis, or vals.ai chip: this page does not invent one. Those boards did not list this exact SKU on 2026-08-19.

Plus is $25/mo with $25 weekly hosted usage. The Mac app stays free with your own keys. Get Plus is not Download for Mac.

04

Artifact and Hugging Face downloads

Artifact

SPDX / license
see Hugging Face card
Total params
HF safetensors.total: 456,089,655,296 stored tensors
Native precision
HF tensors F32 + BF16
Repo size
HF API usedStorage 914,671,710,156 bytes
HF created
2025-01-12T13:48:31.000Z
Official HF repo
MiniMaxAI/MiniMax-Text-01
HF downloads
2,419
HF likes
657

Official weights id on the 2026-08-19 OpenRouter row: MiniMaxAI/MiniMax-Text-01. Community GGUF is a quant, not a second Continuum card.

Official weights

This is the model repo, not Download for Mac. Downloads and likes from the Hugging Face API on 2026-08-19.

Hub file tree

Safetensor shards
413
Shard bytes
914,670,237,824 bytes
Other file bytes
20,601,955 bytes
Tree file count
435
Hub usedStorage
914,671,710,156 bytes

usedStorage and the sum of .safetensors sizes can differ (LFS pointers, non-shard files, duplicate copies). Cited separately. Source: recursive tree API, 2026-08-19.

PathBytes
model-00000-of-00413.safetensors4,916,773,000
model-00001-of-00413.safetensors2,191,113,152
model-00002-of-00413.safetensors2,330,307,784
model-00003-of-00413.safetensors2,254,810,656
model-00004-of-00413.safetensors2,116,402,376
model-00005-of-00413.safetensors2,103,016,184
model-00006-of-00413.safetensors2,254,810,688
model-00007-of-00413.safetensors2,116,402,392
model-00008-of-00413.safetensors2,202,839,784
model-00009-of-00413.safetensors2,151,680,440
model-00010-of-00413.safetensors2,264,926,800
model-00011-of-00413.safetensors2,151,680,448
model-00012-of-00413.safetensors2,264,926,776
model-00013-of-00413.safetensors2,151,680,456
model-00014-of-00413.safetensors2,264,926,792
model-00015-of-00413.safetensors2,151,680,440
model-00016-of-00413.safetensors2,264,926,792
model-00017-of-00413.safetensors2,151,680,456
model-00018-of-00413.safetensors2,264,926,776
model-00019-of-00413.safetensors2,151,680,456
model-00020-of-00413.safetensors2,264,926,792
model-00021-of-00413.safetensors2,151,680,440
model-00022-of-00413.safetensors2,264,926,792
model-00023-of-00413.safetensors2,151,680,456
model-00024-of-00413.safetensors2,264,926,776
model-00025-of-00413.safetensors2,151,680,456
model-00026-of-00413.safetensors2,264,926,800
model-00027-of-00413.safetensors2,151,680,440
model-00028-of-00413.safetensors2,264,926,792
model-00029-of-00413.safetensors2,151,680,456
model-00030-of-00413.safetensors2,264,926,776
model-00031-of-00413.safetensors2,151,680,448
model-00032-of-00413.safetensors2,264,926,800
model-00033-of-00413.safetensors2,151,680,440
model-00034-of-00413.safetensors2,264,926,784
model-00035-of-00413.safetensors2,151,680,456
model-00036-of-00413.safetensors2,264,926,800
model-00037-of-00413.safetensors2,151,680,464
model-00038-of-00413.safetensors2,264,926,816
model-00039-of-00413.safetensors2,151,680,464
model-00040-of-00413.safetensors2,264,926,800
model-00041-of-00413.safetensors2,151,680,480
model-00042-of-00413.safetensors2,264,926,808
model-00043-of-00413.safetensors2,151,680,464
model-00044-of-00413.safetensors2,264,926,816
model-00045-of-00413.safetensors2,151,680,464
model-00046-of-00413.safetensors2,264,926,800
model-00047-of-00413.safetensors2,151,680,480
model-00048-of-00413.safetensors2,264,926,808
model-00049-of-00413.safetensors2,151,680,456
model-00050-of-00413.safetensors2,264,926,816
model-00051-of-00413.safetensors2,151,680,472
model-00052-of-00413.safetensors2,264,926,800
model-00053-of-00413.safetensors2,151,680,480
model-00054-of-00413.safetensors2,264,926,808
model-00055-of-00413.safetensors2,151,680,456
model-00056-of-00413.safetensors2,264,926,816
model-00057-of-00413.safetensors2,151,680,472
model-00058-of-00413.safetensors2,264,926,800
model-00059-of-00413.safetensors2,151,680,472
model-00060-of-00413.safetensors2,264,926,816
model-00061-of-00413.safetensors2,151,680,456
model-00062-of-00413.safetensors2,264,926,816
model-00063-of-00413.safetensors2,151,680,472
tokenizer.json9,724,836
vocab.json4,705,413
merges.txt2,414,077
figures/niah.png1,472,332
model.safetensors.index.json822,708
figures/VisionBench.png439,845
figures/TextBench.png420,426
figures/image.jpg400,882
modeling_minimax_text_01.py75,297
figures/MiniMaxLogo.png45,345
README.md28,721
MiniMax-Text-01_Function_Call_Guide.md12,795
MiniMax-Text-01_Function_Call_Guide_CN.md11,958
LICENSE-MODEL7,617
configuration_minimax_text_01.py7,362
main.py3,622
config.json1,891
.gitattributes1,572
figures/hailuo.svg1,537
tokenizer_config.json1,388
figures/minimax.svg1,255
LICENSE-CODE1,076

Showing the first 64 of 413 safetensor shards, plus 22 other files. The snapshot was capped at 64 shards when the tree API was read on 2026-08-19, so the remaining 349 are on the Files tab, not on this page. Totals above are the full tree API sum, not this slice. Byte sizes are Hub tree API size fields, never invented.

05

Continuum serving

OpenRouter slug minimax/minimax-01 on the 2026-08-19 catalog.

First party: https://platform.minimax.io/.

Not on the Continuum host list fetched 2026-08-19.

Continuum hosted id not on the host list

We list first-party and OpenRouter, plus Continuum only when the live public allowlist named the id. This is not a 15-host routing table.

06

Economics

OpenRouter 2026-08-19: $0.20 in / $1.10 out per 1M tokens. Context 1,000,192 in / 1,000,192 out.

No separate internal-reasoning price on that row.

Price this model Opens the pricing calculator preloaded with MiniMax-01.
07

Provenance

ClaimSourceAs of
OpenRouter id minimax/minimax-01; context 1000192; created 1736915462; $0.20 / $1.10 per 1MOpenRouter /api/v1/models2026-08-19
OpenRouter id minimax/minimax-01, context 1,000,192OpenRouter /api/v1/models2026-08-19
HF downloads 2,419Hugging Face API MiniMaxAI/MiniMax-Text-012026-08-19
HF safetensors.total: 456,089,655,296 stored tensors; HF API usedStorage 914,671,710,156 bytes; created 2025-01-12T13:48:31.000Z; HF tensors F32 + BF16Hugging Face API MiniMaxAI/MiniMax-Text-012026-08-19
413 safetensor shards; shard bytes 914,670,237,824; tree files 435Hugging Face tree API MiniMaxAI/MiniMax-Text-012026-08-19
08

Compare, FAQ, and Get Plus

No other card in this cluster shares a published DeepSWE official row we can put next to this one. We will not compare on vendor-blog numbers.

Continue through MiniMax's model family with MiniMax M3.

FAQ

Why does the lab blog disagree with DeepSWE or Scale?

Lab posts pick a harness, an effort, a split, and sometimes a private eval set. DeepSWE publishes the official mini-swe-agent row with cost, tokens, and steps. Scale SWE-bench Pro only counts when the public shared-harness board has a row we can fetch. A higher lab number is usually a different test, not a better one.

OpenAI-compatible call

No Continuum hosted id is verified for this model, so this page does not invent a curl target. Use the first-party API or the OpenRouter slug minimax/minimax-01.

Plus is $25/mo with $25 weekly hosted usage. The Mac app stays free with your own keys. Get Plus is not Download for Mac.