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ModelCap

MiniMax M1

All-versions archive #203Arena #189API only

MiniMax·minimax/minimax-m1

MiniMax M1 is ModelCap archive rank #203 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

MiniMax M1 listed OpenRouter input price is $0.40 per 1M tokens and listed output price is $2.20 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

MiniMax M1 has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

MiniMax M1 has 2 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

MiniMax M1 weight access is api only, 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
43.2#203
Measured · 63% support · score interval 38.3–48.1
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
36.1Decreased by 0.1
Secondary market signal

Superseded by MiniMax M3. It no longer holds a current-board position; its all-versions archive rank is #203.

Input
$0.40
per 1M tokens
Output
$2.20
per 1M tokens
Context
1M
tokens
Providers
2
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
MinimaxCheapest$0.40$2.201M
Novitabf16$0.55$2.201Mbf16

Other versions (5)

ModelCap Index · All-versions archive

Methodology
43.2
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#203
Public rank basis
Measured (measured)
Index support
63.2% · strong
Index interval
38.3–48.1
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-m1 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
2
Qualified Index evidence point
43.2
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
43.2
Evidence status
confirmed · 77% mass
General preference
43.5
Coding
41.1
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
5.5
Liquidity (providers × uptime)
98.9
Open reach (HF downloads)
Surface (context / tools / modalities)
85.0
Freshness
17.3
  • · OpenRouter popularity #234
  • · 2 live providers
  • · Catalogue: context 1000000, reasoning, tools
  • · First seen 2025-06-17

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
41.9
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
84.0
Evaluation provenance
53.3

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, 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
36.1
OpenRouter weekly popularity
#234 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
#189 of 402
Rating
1363.9
95% confidence interval
1360–1368
Votes
34K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
5.5

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%
17.3

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

Specification

Context window
1M tokens
Max output
40K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
17 Jun 2025
Knowledge cutoff
2024-06-30

Capabilities

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

Benchmark leaderboards featuring MiniMax M1

All leaderboards
Public benchmark boards on which MiniMax M1 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14161409–1424#183 of 397Default13 Sept 2026

MiniMax M1: common questions

How does MiniMax M1 rank among AI models?

MiniMax M1 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 M1 cost per 1M tokens?

MiniMax M1 is listed at $0.40 per 1M input tokens and $2.20 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 $1.90 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 M1?

MiniMax M1 has a published context window of 1M tokens (1,000,000) and a maximum output of 40K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is MiniMax M1 open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve MiniMax M1?

2 providers serve MiniMax M1 through OpenRouter as of 22 September 2026: Minimax and Novita. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has MiniMax M1 been evaluated on?

MiniMax M1 has published results on 1 public board tracked by ModelCap as of 22 September 2026: Arena coding 1416 (#183 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was MiniMax M1 released?

MiniMax M1 first appeared in the catalogue on 17 Jun 2025, with a published knowledge cutoff of 2024-06-30. It has since been superseded by MiniMax M3. Rank and price movements since then are recorded on the site's changes feed.