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ModelCap

MiniMax-01

Official publisher releaseLicense unverified7d #161 → #166

MiniMax·#166 of 352 on the current board

MiniMax-01 is a language model from MiniMax. It ranks #166 of 352 on ModelCap's current board, with an Index score of 39.4, modeled from the publisher's launch results against measured models. Its score range of 19.5–59.2 spans positions #89–#289. It reads up to 1M tokens of context.

Figures as of 6 Nov 2026, 14:10 UTC · download the public dataset · methodology

ModelCap Index · Current board
39.4#166
Modeled from the publisher's launch results against measured models · range 19.5–59.2
Market Gravity
7.9
Secondary market signal
Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
1M
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

No provider is currently serving this model.

Reported evaluation leads (1)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.

Dataset / taskMetricValueRevisionProvenance
TIGER-Lab/MMLU-Pro
mmlu_pro
—75.7
Unpinned
not published
Reported
Used in launch estimate

ModelCap Index · Current board

Methodology
39.4
Modeled from the publisher's launch results against measured models
Current board
#166 of 352
Score range
19.5–59.2
Rank range
#89–#289
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · publisher-corpus-prior over 210 held-out anchors (43%); launch card against 2 resolved peers on 4 rows (57%); optimism haircut 6.45 from cross-lab-probe; shrunk 7.8 up toward the measured corpus
Index support
15.8% · limited
Identity binding
Exact catalogue product · minimax/minimax/minimax-01 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata MiniMaxAI/MiniMax-Text-01@a7351bf2bee0e1253919d349f1ad304e6dac13e9 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
39.4
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
39.4 ± 15.5
Independent share
0%
Shrink toward corpus
+7.8
Peer ceiling share
0%
Optimism haircut
−6.5 points · cross lab probe, 4 probes
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 210 held-out anchors
50.0 ± 23.843%
Launch card against resolved peers · not independent
launch card against 2 resolved peers on 4 rows
31.5 ± 20.457%
  • · Launch card row gpqa-diamond: inside the resolved peer range
  • · Launch card row humaneval: inside the resolved peer range
  • · Launch card row mmlu-pro: inside the resolved peer range
  • · Launch card row mmlu: inside the resolved peer range
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
—
Surface (context / tools / modalities)
55.0
Freshness
8.1
  • · Catalogue: context 1000192, modalities Text/Image
  • · First seen 2025-01-15

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
64.7
49.6–79.8 uncertainty interval
Excluded from rank
Confidence
73%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
8.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
38.9
limited · 44% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
32.5
Deployability
23.0
Evaluation provenance
0.0

Not yet published: the base model it derives from, a declared licence, a link to the licence terms, a current serving provider, measured provider uptime, published provider pricing, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
7.9
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
8.1

Time since first public availability, on a six-month half-life.

Specification

Model ID
minimax/minimax-01
Context window
1M tokens
Declared output cap
900K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
15 Jan 2025
Knowledge cutoff
2024-03-31

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

License unverified. A weight repository exists, but ModelCap could not verify its license classification from the current source metadata.

Access
License unverified
Pinned revision
a7351bf2bee0
Parameters
456.1B
Architecture
MiniMaxText01ForCausalLM
Model type
minimax_text_01
Hugging Face downloads (30d)
3K
Downloads (all time)
93K
Likes
657
Repository updated
3 Jul 2025, 05:13 UTC

Alternatives to MiniMax-01, by the numbers

Ranked neighbours

Models within 3 places of #166 on the ModelCap Index.

Other ranked MiniMax models

The same publisher's other current models with a public Index position.

MiniMax-01: common questions

How does MiniMax-01 rank among AI models?

MiniMax-01 holds ModelCap Index position #166 of 352 ranked language models as of 6 November 2026, with an Index score of 39.4 (interval 19.5–59.2); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does MiniMax-01 cost per 1M tokens?

No live API price is listed for MiniMax-01 in the current snapshot as of 6 November 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.

What is the context window of MiniMax-01?

MiniMax-01 has a published context window of 1M tokens (1,000,192). The snapshot lists a 900,172 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Which benchmarks has MiniMax-01 been evaluated on?

MiniMax-01's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 6 November 2026. The evidence panel names each source and its publication date.

When was MiniMax-01 released?

MiniMax-01 first appeared in the catalogue on 15 Jan 2025, with a published knowledge cutoff of 2024-03-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.