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ModelCap

MiniMax M3

Arena #98Official publisher releaseRestricted license7d #56 → #58

MiniMax·#58 of 352 on the current board·cheaper than #54 Grok 4.7

MiniMax M3 is a language model from MiniMax. It ranks #58 of 352 on ModelCap's current board, with an Index score of 66.6, measured on 3 public benchmarks. Its score range of 61.9–71.3 spans positions #41–#75. It is listed at $0.30 per million input tokens and $1.20 per million output tokens across 11 providers. It reads up to 1M tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
66.6#58
Measured on 3 public benchmarks · range 61.9–71.3
Evidence as of 4 Nov 2026, 00:00 UTC
Market Gravity
55.3Increased by 0.1
Secondary market signal
Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Context
1M
tokens
Providers
11
13 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfrafp8/flexCheapest$0.224$0.88524Kfp8—
CoreWeavefp4$0.23$0.96262Kfp4100.0%
GMICloudfp8$0.24$0.961Mfp8100.0%
DeepInfrafp8$0.28$1.10524Kfp8100.0%
AtlasCloudfp8$0.30$1.20524Kfp8100.0%
Minimax$0.30$1.20524K—100.0%
Novitafp8$0.30$1.201Mfp8100.0%
Parasailfp8$0.30$1.201Mfp8100.0%
StreamLakefp8$0.30$1.201Mfp8100.0%
Together$0.30$1.20524K—100.0%
Venicefp8$0.30$1.20524Kfp8—
ModelRunfp8$0.30$1.301Mfp8100.0%
Parasailfast$0.45$1.801Mfp8100.0%

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$1.10524K806 ms23.2 tok/stools · structured
novita
live
$0.30$1.201M1790 ms47.1 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
-10.40%
CI -11.6–-9.2%
#523.7M obs
44K sessions
LMArena Agent
Match 100%

Reported evaluation leads (12)

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
lhtb2_solved
—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
66.6
Measured on 3 public benchmarks
Current board
#58 of 352
Score range
61.9–71.3
Rank range
#41–#75
Evidence as of
4 Nov 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall, LMArena Agent
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 3 public benchmark observations across 3 boards
Index support
66.1% · strong
Identity binding
Exact catalogue product · minimax/minimax/minimax-m3 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata MiniMaxAI/Minimax-M3@d95e30cb912fe3021bb9c2ba66a8ce60b6c937a9 (not the evaluation revision)
Index observations used
3
Qualified Index evidence point
66.6
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
66.6
Evidence status
confirmed · 88% mass
General preference
67.7
Coding
69.1
Agents & tools
19.1
Reasoning
—
Evidence breadth
97%
Evidence coverage
66%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
38.0
Liquidity (providers × uptime)
96.6
Open reach (HF downloads)
—
Surface (context / tools / modalities)
100.0
Freshness
54.6
  • · OpenRouter popularity #37
  • · 11 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
89.1
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
98.8
Evaluation provenance
77.1

Not yet published: the base model it derives from, 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
55.3
OpenRouter weekly popularity
#37 of 339

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
#98 of 419
Rating
1439.2
95% confidence interval
1435–1443
Votes
69K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
38.0

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%
54.6

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

Specification

Model ID
minimax/minimax-m3
Context window
1M tokens
Declared output cap
512K 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, 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
d95e30cb912f
Parameters
427.0B
Architecture
MiniMaxM3SparseForConditionalGeneration
Model type
minimax_m3_vl
Hugging Face downloads (30d)
159K
Downloads (all time)
992K
Likes
2K
Repository updated
26 Oct 2026, 07:08 UTC

Compare MiniMax M3 with

Pick any model

Benchmark leaderboards featuring MiniMax M3

All leaderboards
Public benchmark boards on which MiniMax M3 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)14391435–1443#98 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)14951490–1501#89 of 414Default28 Oct 2026
LMArena Agent leaderboardLMArena-10.4%-11.6%–-9.2%#52 of 58Default4 Nov 2026
Artificial Analysis Intelligence IndexArtificial Analysis18.9#72 of 98Reasoning3 Nov 2026

Alternatives to MiniMax M3, by the numbers

Ranked neighbours

Models within 3 places of #58 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).

Other ranked MiniMax models

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

MiniMax M3: common questions

How does MiniMax M3 rank among AI models?

MiniMax M3 holds ModelCap Index position #58 of 352 ranked language models as of 6 November 2026, with an Index score of 66.6 (interval 61.9–71.3); 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 6 November 2026; the lowest output price among 11 providers is $0.88 on DeepInfra. 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). The snapshot lists a 512,000 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.

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?

11 providers serve MiniMax M3 through OpenRouter as of 6 November 2026: DeepInfra, CoreWeave, GMICloud, StreamLake, Venice and Together and 5 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 4 public boards tracked by ModelCap as of 6 November 2026: Arena text 1439 (#98 of 419), Arena coding 1495 (#89 of 414), LMArena Agent -10.4% (#52 of 58) and AA Intelligence Index 18.9 (#72 of 98). 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 compare with MiniMax M3.1 Flash?

MiniMax M3 ranks #58 (Index 66.6) and MiniMax M3.1 Flash ranks #28 (Index 75.7) on the ModelCap Index as of 6 November 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.