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ModelCap

MiniMax-01

Official publisher releaseLicense unverified

MiniMax·minimax/minimax-01

MiniMax-01 listed OpenRouter input price is $0.20 per 1M tokens and listed output price is $1.10 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

MiniMax-01 has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

MiniMax-01 has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
18.6
Secondary market signal
Input
$0.20
per 1M tokens
Output
$1.10
per 1M tokens
Context
1M
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Minimax$0.20$1.101M100.0%

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. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
TIGER-Lab/MMLU-Pro
mmlu_pro
75.7
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
Not scored · peers unresolved
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
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
Architecture fallback
abstained · 0% coverage · 0 anchors
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)
3.1
Liquidity (providers × uptime)
35.8
Open reach (HF downloads)
Surface (context / tools / modalities)
55.0
Freshness
9.6
  • · OpenRouter popularity #270
  • · 1 live provider
  • · 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
63.8
46.4–81.2 uncertainty interval
Excluded from rank
Confidence
69%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
10.0 MAE

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

Deployment readiness

Metadata index
52.4
partial · 64% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
32.5
Deployability
68.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
18.6
OpenRouter weekly popularity
#270 of 322

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%
3.1

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.8

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%
9.6

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

Specification

Context window
1M tokens
Max output
900K tokens
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)
4K
Downloads (all time)
89K
Likes
657
Repository updated
3 Jul 2025, 05:13 UTC

MiniMax-01: common questions

How does MiniMax-01 rank among AI models?

MiniMax-01 has no public ModelCap Index position as of 22 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

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

MiniMax-01 is listed at $0.20 per 1M input tokens and $1.10 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.95 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of MiniMax-01?

MiniMax-01 has a published context window of 1M tokens (1,000,192) and a maximum output of 900K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Which API providers serve MiniMax-01?

One provider serves MiniMax-01 through OpenRouter as of 22 September 2026: Minimax. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

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.