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ModelCap

MiniMax M2.1

All-versions archive #1811 Arena configurationsOfficial publisher releaseRestricted license

MiniMax·minimax/minimax-m2.1

MiniMax M2.1 is ModelCap archive rank #181 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

MiniMax M2.1 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 M2.1 has a published context limit of 205K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

MiniMax M2.1 has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

MiniMax M2.1 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 · All-versions archive
48.7#181
Measured · 62% support · score interval 43.6–53.8
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
39.1Increased by 0.3
Secondary market signal

Superseded by MiniMax M3. It no longer holds a current-board position; its all-versions archive rank is #181.

Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Context
205K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitafp8Cheapest$0.30$1.20205Kfp8
Minimaxfp8$0.30$1.20205Kfp8
Minimaxhighspeed$0.30$2.40205Kfp8

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
$0.30$1.20205K1750 ms63.0 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.

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
Preview
minimax-m2.1-preview
1384
CI 1379–1389
#17017KLMArena
Match 98%

Reported evaluation leads (7)

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
cais/hle
hle
22.2
Unpinned
not published
Reported
Quarantined
FutureMa/EvasionBench
evasion_bench
71.31
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.0
terminalbench_2
29.2
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
80.8081
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
36.81
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
74
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
88
Unpinned
not published
Reported
Quarantined

Other versions (5)

ModelCap Index · All-versions archive

Methodology
48.7
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#181
Public rank basis
Measured (measured)
Index support
61.5% · strong
Index interval
43.6–53.8
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · minimax/minimax/minimax-m2.1/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata MiniMaxAI/MiniMax-M2.1@cd97f59135f37b2a6bf09356e485d5e4aeb7dc9c (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
48.7
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
48.7
Evidence status
confirmed · 77% mass
General preference
48.9
Coding
47.7
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
62%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
9.3
Liquidity (providers × uptime)
98.9
Open reach (HF downloads)
Surface (context / tools / modalities)
73.5
Freshness
35.4
  • · OpenRouter popularity #188
  • · 2 live providers
  • · Catalogue: context 204800, reasoning, tools
  • · First seen 2025-12-23

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
82.9
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
94.8
Evaluation provenance
52.1

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
39.1
OpenRouter weekly popularity
#188 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

Configuration results available

Arena has published current community results for Preview. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.

Current board through 13 Sept 2026, 00:00 UTC

Market Gravity breakdown

Usage55%
9.3

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
98.9

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%
35.4

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

Specification

Context window
205K tokens
Max output
131K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.03 / 1M
First seen on OpenRouter
23 Dec 2025

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Not 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
cd97f59135f3
Parameters
228.7B
Architecture
MiniMaxM2ForCausalLM
Model type
minimax_m2
Hugging Face downloads (30d)
23K
Downloads (all time)
492K
Likes
1K
Repository updated
13 Feb 2026, 09:24 UTC

Benchmark leaderboards featuring MiniMax M2.1

All leaderboards
Public benchmark boards on which MiniMax M2.1 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14381428–1449#156 of 397Preview13 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis85.4%#98 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="MiniMax-M2.1":reasoning=true9 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis23.2%#157 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="MiniMax-M2.1":reasoning=true9 Sept 2026

MiniMax M2.1: common questions

How does MiniMax M2.1 rank among AI models?

MiniMax M2.1 is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does MiniMax M2.1 cost per 1M tokens?

MiniMax M2.1 is listed at $0.30 per 1M input tokens and $1.20 per 1M output tokens as of 22 September 2026 across 2 providers. 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 M2.1?

MiniMax M2.1 has a published context window of 205K tokens (204,800) and a maximum output of 131K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is MiniMax M2.1 open-weight?

Restricted license (modified-mit). 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-M2.1 on Hugging Face.

Which API providers serve MiniMax M2.1?

2 providers serve MiniMax M2.1 through OpenRouter as of 22 September 2026: Novita and Minimax. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has MiniMax M2.1 been evaluated on?

MiniMax M2.1 has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1438 (#156 of 397), AA τ²-Bench Telecom 85.4% (#98 of 436) and AA Humanity's Last Exam 23.2% (#157 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was MiniMax M2.1 released?

MiniMax M2.1 first appeared in the catalogue on 23 Dec 2025. It has since been superseded by MiniMax M3. Rank and price movements since then are recorded on the site's changes feed.