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ModelCap

MiniMax M2.7

All-versions archive #119Arena #126Official publisher releaseRestricted license

MiniMax·minimax/minimax-m2.7

MiniMax M2.7 is ModelCap archive rank #119 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

MiniMax M2.7 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 M2.7 has a published context limit of 205K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

MiniMax M2.7 has 9 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

MiniMax M2.7 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
59.2#119
Measured · 87% support · score interval 53.4–65.0
Evidence as of 19 Sept 2026, 22:46 UTC
Market Gravity
47.9Increased by 0.2
Secondary market signal

Superseded by MiniMax M3. It no longer holds a current-board position; its all-versions archive rank is #119.

Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Context
205K
tokens
Providers
9
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
GMICloudfp8Cheapest$0.21$0.84197Kfp899.86%
Mara$0.24$0.96197K84.17%
Novitafp8$0.27$1.08205Kfp899.70%
AtlasCloudfp8$0.30$1.20197Kfp899.40%
Minimaxfp8$0.30$1.20205Kfp8100.0%
DeepInfraturbo$0.38$1.70197Kfp8
Groq$0.60$1.80197K100.0%
SambaNova$0.60$2.40197K
Minimaxhighspeed$0.60$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
deepinfra
live
$0.25$1.00197K975 ms24.7 tok/stools · structured
novita
live
$0.30$1.20205K1104 ms47.0 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.

EffortAgent scoreSource rankSampleSource
Default
Minimax M2.7
-14.02%
CI -15.1-13.0%
#44858K obs
38K sessions
LMArena Agent
Match 100%

Reported evaluation leads (9)

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
34.9
Pinned
be2a6ce2cb1f4ff67ce937307cade0c5a0477a13
Reported
Quarantined
claw-eval/Claw-Eval
general
49.7
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
multi_turn
44.7
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.0
terminalbench_2
57
Unpinned
not published
Reported
Quarantined
internlm/WildClawBench
overall
33.8
Unpinned
not published
Reported
Quarantined
internlm/WildClawBench
avg_time
551
Unpinned
not published
Reported
Quarantined
internlm/WildClawBench
avg_cost
7.2
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
56.2
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
76.5
Unpinned
not published
Reported
Quarantined

Other versions (5)

ModelCap Index · All-versions archive

Methodology
59.2
Measured · 5 public benchmark observations across 5 boards
All-versions archive
#119
Public rank basis
Measured (measured)
Index support
87.3% · strong
Index interval
53.4–65.0
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-m2.7/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata MiniMaxAI/MiniMax-M2.7@d494266a4affc0d2995ba1fa35c8481cbd84294b (not the evaluation revision)
Index observations used
5
Qualified Index evidence point
59.2
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
59.2
Evidence status
confirmed · 95% mass
General preference
60.0
Coding
63.4
Agents & tools
19.7
Reasoning
Evidence breadth
97%
Evidence coverage
87%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
24.1
Liquidity (providers × uptime)
98.8
Open reach (HF downloads)
Surface (context / tools / modalities)
73.5
Freshness
48.9
  • · OpenRouter popularity #80
  • · 8 live providers
  • · Catalogue: context 204800, reasoning, tools
  • · First seen 2026-03-18

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
47.9
OpenRouter weekly popularity
#80 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
#126 of 402
Rating
1415.2
95% confidence interval
1412–1419
Votes
69K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
24.1

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
98.8

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%
48.9

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
$0.06 / 1M
First seen on OpenRouter
18 Mar 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
Licence
other
Pinned revision
d494266a4aff
Parameters
228.7B
Architecture
MiniMaxM2ForCausalLM
Model type
minimax_m2
Hugging Face downloads (30d)
1.4M
Downloads (all time)
7.4M
Likes
1K
Repository updated
20 Apr 2026, 04:28 UTC

Benchmark leaderboards featuring MiniMax M2.7

All leaderboards
Public benchmark boards on which MiniMax M2.7 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14811475–1486#98 of 397Default13 Sept 2026
LMArena Agent leaderboardLMArena-14.0%-15.1%–-13.0%#44 of 46Default15 Sept 2026
Artificial Analysis Intelligence IndexArtificial Analysis22.8#95 of 151intelligence-index:v4.3:reasoning-unspecified19 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis84.8%#102 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="MiniMax-M2.7":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis29.6%#118 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="MiniMax-M2.7":reasoning=true5 Sept 2026
WildClawBench OpenClaw leaderboardWildClawBench33.8#29 of 34Default20 Jul 2026

MiniMax M2.7: common questions

How does MiniMax M2.7 rank among AI models?

MiniMax M2.7 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 M2.7 cost per 1M tokens?

MiniMax M2.7 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 8 providers is $0.84 on GMICloud. 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 M2.7?

MiniMax M2.7 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 M2.7 open-weight?

Restricted license (other). 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-M2.7 on Hugging Face.

Which API providers serve MiniMax M2.7?

8 providers serve MiniMax M2.7 through OpenRouter as of 22 September 2026: GMICloud, Mara, Novita, AtlasCloud, Minimax and DeepInfra and 2 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has MiniMax M2.7 been evaluated on?

MiniMax M2.7 has published results on 6 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1481 (#98 of 397), LMArena Agent -14.0% (#44 of 46), AA Intelligence Index 22.8 (#95 of 151), AA τ²-Bench Telecom 84.8% (#102 of 436) and AA Humanity's Last Exam 29.6% (#118 of 615) and more. Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was MiniMax M2.7 released?

MiniMax M2.7 first appeared in the catalogue on 18 Mar 2026. It has since been superseded by MiniMax M3. Rank and price movements since then are recorded on the site's changes feed.