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ModelCap

MiniMax M3

Current board #36Arena #84Official publisher releaseRestricted license7d #38 → #36

MiniMax·minimax/minimax-m3

MiniMax M3 is ModelCap current-board rank #36 with Index 68.3 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

MiniMax M3 listed OpenRouter input price is $0.30 per 1M tokens and listed output price is $1.20 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

MiniMax M3 has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

MiniMax M3 has 13 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

MiniMax M3 weight access is restricted license, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
68.3#36
Measured · 86% support · score interval 62.4–74.2
Evidence as of 19 Sept 2026, 22:46 UTC
Market Gravity
62.4Increased by 0.2
Secondary market signal
Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Context
1M
tokens
Providers
13
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
CoreWeavefp4Cheapest$0.23$0.96262Kfp499.45%
GMICloudfp8$0.24$0.961Mfp899.52%
DeepInfrafp8$0.28$1.10524Kfp899.68%
StreamLakefp8$0.30$1.201Mfp896.68%
Venicefp8$0.30$1.20524Kfp896.37%
Together$0.30$1.20524K100.0%
Parasailfp8$0.30$1.201Mfp8100.0%
AtlasCloudfp8$0.30$1.20524Kfp898.53%
Novitafp8$0.30$1.201Mfp898.31%
Minimaxfp8$0.30$1.20524Kfp899.52%
Mara$0.60$2.401M
SambaNova$0.60$2.401M99.37%
ModelRunfp4$0.75$3.001Mfp4100.0%

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
deepinfra
live
$0.28$1.10524K1475 ms24.0 tok/stools · structured
fireworks-ai
live
$0.30$1.20512K554 ms105.3 tok/stools · structured
novita
live
$0.30$1.201M1066 ms92.6 tok/stools
together
live
$0.30$1.20524K489 ms99.8 tok/stools
featherless-ai
live

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

EffortAgent scoreSource rankSampleSource
Default
Minimax M3
-5.76%
CI -6.6-4.9%
#372.9M obs
39K sessions
LMArena Agent
Match 100%

Reported evaluation leads (11)

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
benchflow/skillsbench
skillsbench_v1_1
53
Pinned
be2a6ce2cb1f4ff67ce937307cade0c5a0477a13
Reported
Quarantined
joelniklaus/LEXam-hard
lexam_hard
37.07
Pinned
1bd50ee3ac80286fed27e5b89f03f4d8b4494244
Reported
Quarantined
claw-eval/Claw-Eval
general
74.5
Unpinned
not published
Reported
Quarantined
collinear-ai/yc-bench
medium
2,100,000
Unpinned
not published
Reported
Quarantined
IntelligenceLab/Long-Horizon-Terminal-Bench
lhtb
38.5
Unpinned
not published
Reported
Quarantined
IntelligenceLab/Long-Horizon-Terminal-Bench
lhtb_solved
3
Unpinned
not published
Reported
Quarantined
mercor/apex-agents
apex-agents
27.7
Unpinned
not published
Reported
Quarantined
MME-Benchmarks/Video-MME-v2
video-mme-v2
85.4
Unpinned
not published
Reported
Quarantined
MMMU/MMMU_Pro
mmmu_pro_standard_10_options
78.1
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
59
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
80.5
Unpinned
not published
Reported
Quarantined

Other versions (5)

ModelCap Index · Current board

Methodology
68.3
Measured · 4 public benchmark observations across 4 boards
Current board
#36
Public rank basis
Measured (measured)
Index support
86.0% · strong
Index interval
62.4–74.2
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
19 Sept 2026, 22:46 UTC
Identity binding
Exact catalogue product · minimax/minimax/minimax-m3 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata MiniMaxAI/Minimax-M3@f0e1c1e04d40177e4673a22097036854f536e9c0 (not the evaluation revision)
Index observations used
4
Qualified Index evidence point
68.3
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
68.3
Evidence status
confirmed · 94% mass
General preference
69.4
Coding
70.6
Agents & tools
32.7
Reasoning
Evidence breadth
97%
Evidence coverage
86%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
49.9
Liquidity (providers × uptime)
96.6
Open reach (HF downloads)
Surface (context / tools / modalities)
100.0
Freshness
64.9
  • · OpenRouter popularity #18
  • · 13 live providers
  • · Catalogue: context 1048576, reasoning, tools, modalities Text/Image/Video
  • · First seen 2026-05-31

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

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
90.1
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
97.8
Evaluation provenance
83.7

Missing: artifactReproducibility.base-lineage, 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
62.4
OpenRouter weekly popularity
#18 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

Status
Ranked
Source
LMArena
Official rank
#84 of 402
Rating
1441.3
95% confidence interval
1437–1445
Votes
49K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
49.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
96.6

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%
64.9

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

Specification

Context window
1M tokens
Max output
512K tokens
Inputs
Text, Image, Video
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.06 / 1M
First seen on OpenRouter
31 May 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • 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
f0e1c1e04d40
Parameters
427.0B
Architecture
MiniMaxM3SparseForConditionalGeneration
Model type
minimax_m3_vl
Hugging Face downloads (30d)
165K
Downloads (all time)
703K
Likes
2K
Repository updated
23 Jul 2026, 04:25 UTC

Compare MiniMax M3 with

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Benchmark leaderboards featuring MiniMax M3

All leaderboards
Public benchmark boards on which MiniMax M3 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14961490–1503#73 of 397Default13 Sept 2026
LMArena Agent leaderboardLMArena-5.8%-6.6%–-4.9%#37 of 46Default15 Sept 2026
Artificial Analysis Intelligence IndexArtificial Analysis29.2#73 of 151intelligence-index:v4.3:reasoning-unspecified19 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis88.9%#74 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="MiniMax-M3":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis39.0%#67 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="MiniMax-M3":reasoning=true5 Sept 2026

Alternatives to MiniMax M3, by the numbers

Ranked neighbours

Models within 3 places of #36 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

MiniMax M3: common questions

How does MiniMax M3 rank among AI models?

MiniMax M3 holds ModelCap Index position #36 of 248 ranked language models as of 22 September 2026, with an Index score of 68.3 (interval 62.4–74.2); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does MiniMax M3 cost per 1M tokens?

MiniMax M3 is listed at $0.30 per 1M input tokens and $1.20 per 1M output tokens as of 22 September 2026; the lowest output price among 13 providers is $0.96 on CoreWeave. 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 $1.20 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 M3?

MiniMax M3 has a published context window of 1M tokens (1,048,576) and a maximum output of 512K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is MiniMax M3 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 on Hugging Face.

Which API providers serve MiniMax M3?

13 providers serve MiniMax M3 through OpenRouter as of 22 September 2026: CoreWeave, GMICloud, DeepInfra, StreamLake, Venice and Together and 7 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has MiniMax M3 been evaluated on?

MiniMax M3 has published results on 5 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1496 (#73 of 397), LMArena Agent -5.8% (#37 of 46), AA Intelligence Index 29.2 (#73 of 151), AA τ²-Bench Telecom 88.9% (#74 of 436) and AA Humanity's Last Exam 39.0% (#67 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does MiniMax M3 compare with Ornith 1.5 35B A3B?

MiniMax M3 ranks #36 (Index 68.3) and Ornith 1.5 35B A3B ranks #37 (Index 67.8) 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 M3 released?

MiniMax M3 first appeared in the catalogue on 31 May 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.