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ModelCap

MiniMax M3.1 Flash

Official publisher releaseNewRestricted license

MiniMaxAI·#22 of 357 on the current board

MiniMax M3.1 Flash is a language model from MiniMaxAI. It ranks #22 of 357 on ModelCap's current board, with an Index score of 77.7, modeled from the publisher's launch results against measured models. Its score range of 70.2–85.1 spans positions #5–#40. Its weights are downloadable under a use-restricted licence.

Figures as of 23 Oct 2026, 01:29 UTC · download the public dataset · methodology

ModelCap Index · Current board
77.7#22
Modeled from the publisher's launch results against measured models · range 70.2–85.1
Market Gravity
12.4
Secondary market signal

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

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
77.7
Modeled from the publisher's launch results against measured models
Current board
#22 of 357
Score range
70.2–85.1
Rank range
#5–#40
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · global-corpus-prior over 210 held-out anchors (6%); launch card against 5 resolved peers on 6 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 1.8 toward the measured corpus
Index support
30.0% · limited
Identity binding
Exact catalogue product · minimaxai/MiniMaxAI/MiniMax-M3.1-Flash/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata MiniMaxAI/MiniMax-M3.1-Flash@9e7ebacac350497ad4a1272a2e817639bf11561c (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
77.7
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
77.7 ± 5.8
Independent share
0%
Shrink toward corpus
-1.8
Peer ceiling share
0%
Optimism haircut
None required · cross lab probe, 4 probes
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 210 held-out anchors
51.7 ± 22.96%
Launch card against resolved peers · not independent
launch card against 5 resolved peers on 6 rows
79.4 ± 6.094%
  • · Launch card row cybergym: inside the resolved peer range
  • · Launch card row deepswe-v-1-1: inside the resolved peer range
  • · Launch card row hle-without-tools: inside the resolved peer range
  • · Launch card row nl-2-repo: inside the resolved peer range
  • · Launch card row osworld-2-0: inside the resolved peer range
  • · Launch card row terminal-bench-4-0: 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)
15.0
Freshness
97.8
  • · Catalogue: modalities Text/Image
  • · First seen 2026-10-17

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
38.2
22.4–53.9 uncertainty interval
Excluded from rank
Confidence
71%
Training support
220 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.2 MAE

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

Deployment readiness

Metadata index
46.4
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
8.0
Evaluation provenance
0.0

Not yet published: the base model it derives from, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, 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
12.4
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%
97.8

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

Specification

Model ID
MiniMaxAI/MiniMax-M3.1-Flash
Declared output cap
Unknown

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
Cached input tokens
Not offered
First seen on OpenRouter
17 Oct 2026

Capabilities

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

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Pinned revision
9e7ebacac350
Parameters
220.5B
Architecture
MiniMaxM3SparseForConditionalGeneration
Model type
minimax_m3_vl
Hugging Face downloads (30d)
357
Downloads (all time)
357
Likes
7
Repository updated
23 Oct 2026, 00:59 UTC

Compare MiniMax M3.1 Flash with

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Benchmark leaderboards featuring MiniMax M3.1 Flash

All leaderboards
Public benchmark boards on which MiniMax M3.1 Flash has a published result
LeaderboardScoreSource rankConfigurationPublished
Artificial Analysis Intelligence IndexArtificial Analysis42.7#35 of 133Reasoning23 Oct 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis48.0%#26 of 266Reasoning23 Oct 2026

Alternatives to MiniMax M3.1 Flash, by the numbers

Ranked neighbours

Models within 3 places of #22 on the ModelCap Index.

Other ranked MiniMaxAI models

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

MiniMax M3.1 Flash: common questions

How does MiniMax M3.1 Flash rank among AI models?

MiniMax M3.1 Flash holds ModelCap Index position #22 of 357 ranked language models as of 23 October 2026, with an Index score of 77.7 (interval 70.2–85.1); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does MiniMax M3.1 Flash cost per 1M tokens?

No live API price is listed for MiniMax M3.1 Flash in the current snapshot as of 23 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is MiniMax M3.1 Flash open-weight?

Restricted license (minimax-community). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is MiniMaxAI/MiniMax-M3.1-Flash on Hugging Face.

Which benchmarks has MiniMax M3.1 Flash been evaluated on?

MiniMax M3.1 Flash has published results on 2 public boards tracked by ModelCap as of 23 October 2026: AA Intelligence Index 42.7 (#35 of 133) and AA Humanity's Last Exam 48.0% (#26 of 266). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does MiniMax M3.1 Flash compare with GLM 5.3 Flash?

MiniMax M3.1 Flash ranks #22 (Index 77.7) and GLM 5.3 Flash ranks #24 (Index 76.9) on the ModelCap Index as of 23 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was MiniMax M3.1 Flash released?

MiniMax M3.1 Flash first appeared in the catalogue on 17 Oct 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.