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ModelCap

MiniMax M1 80k

Current board #85Official publisher releaseOpen weights

MiniMaxAI·MiniMaxAI/MiniMax-M1-80k

MiniMax M1 80k is ModelCap current-board rank #85 with Index 54.1 (Modeled · peer benchmarks), from the ModelCap Index as of 22 Sept 2026, 03:10 UTC.

MiniMax M1 80k has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 03:10 UTC.

MiniMax M1 80k weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 03:10 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
54.1#85
Estimated · 36% support · score interval 41.3–66.8
No admitted evaluation publication timestamp yet
Market Gravity
10.7Decreased by 0.2
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
1M
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
novita
live
$0.55$2.201M984 ms61.2 tok/stools

Other versions (1)

ModelCap Index · Current board

Methodology
54.1
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#85
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
36.0% · limited
Index interval
41.3–66.8
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 · minimaxai/MiniMaxAI/MiniMax-M1-80k · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata MiniMaxAI/MiniMax-M1-80k@8d1494b1a260e22040d5b9b2eb332eb44500b34d (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
54.1
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
54.1 ± 10.0
Independent share
0%
Shrink toward corpus
+0.2
Peer ceiling share
11%
Optimism haircut
None required · cross lab probe, 7 probes
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 203 held-out anchors
54.9 ± 22.719%
Launch card against resolved peers · not independent
launch card against 5 resolved peers on 9 rows
53.9 ± 11.181%
  • · Launch card row aime-2024: inside the resolved peer range
  • · Launch card row aime-2025: inside the resolved peer range
  • · Launch card row gpqa-diamond: claims below every resolved peer
  • · Launch card row hle-without-tools: inside the resolved peer range
  • · Launch card row livecodebench: inside the resolved peer range
  • · Launch card row math-500: inside the resolved peer range
  • · Launch card row mmlu-pro: claims below every resolved peer
  • · Launch card row swe-bench-verified: inside the resolved peer range
  • · Launch card row tau-bench: claims above every resolved peer
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)
65.7
Surface (context / tools / modalities)
60.0
Freshness
17.0
  • · HF 30d downloads 1622
  • · Catalogue: context 1000000, tools
  • · First seen 2025-06-13

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
52.1
34.6–69.6 uncertainty interval
Excluded from rank
Confidence
70%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
86%
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
60.1
partial · 70% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
48.7
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, deployability.measured-provider-uptime, 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
10.7
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%
65.7

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

Freshness5%
17.0

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

Specification

Context window
1M tokens
Max output
Inputs
Text
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
13 Jun 2025

Capabilities

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

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
8d1494b1a260
Parameters
456.1B
Architecture
MiniMaxM1ForCausalLM
Model type
minimax_m1
Hugging Face downloads (30d)
2K
Downloads (all time)
107K
Likes
692
Repository updated
7 Jul 2025, 07:51 UTC

Compare MiniMax M1 80k with

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Benchmark leaderboards featuring MiniMax M1 80k

All leaderboards
Public benchmark boards on which MiniMax M1 80k has a published result
LeaderboardScoreSource rankConfigurationPublished
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis34.2%#254 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="MiniMax M1 80k":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis8.9%#310 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="MiniMax M1 80k":reasoning=true5 Sept 2026

Alternatives to MiniMax M1 80k, by the numbers

Ranked neighbours

Models within 3 places of #85 on the ModelCap Index.

MiniMax M1 80k: common questions

How does MiniMax M1 80k rank among AI models?

MiniMax M1 80k holds ModelCap Index position #85 of 248 ranked language models as of 22 September 2026, with an Index score of 54.1 (interval 41.3–66.8); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does MiniMax M1 80k cost per 1M tokens?

No live API price is listed for MiniMax M1 80k in the current snapshot as of 22 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

What is the context window of MiniMax M1 80k?

MiniMax M1 80k has a published context window of 1M tokens (1,000,000). Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is MiniMax M1 80k open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is MiniMaxAI/MiniMax-M1-80k on Hugging Face.

Which benchmarks has MiniMax M1 80k been evaluated on?

MiniMax M1 80k has published results on 2 public boards tracked by ModelCap as of 22 September 2026: AA τ²-Bench Telecom 34.2% (#254 of 436) and AA Humanity's Last Exam 8.9% (#310 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does MiniMax M1 80k compare with MiniCPM5 2B?

MiniMax M1 80k ranks #85 (Index 54.1) and MiniCPM5 2B ranks #84 (Index 54.2) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was MiniMax M1 80k released?

MiniMax M1 80k first appeared in the catalogue on 13 Jun 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.