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ModelDeprecated

MiniMax M2.7

MiniMaxhuggingface.co/MiniMaxAI/MiniMax-M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

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data quality74

Updated 5 h ago · first seen 11 Sept 2026

model_01M294WW2MV89PBXXQQ9MTXTB7

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 7 h agomedium

Status

Source:Artificial AnalysisT2observed 10 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
MiniMax APIminimax/minimax-m2.7$0.30$1.2$0.06204.8K4 h agoopenrouter.aiT2
Together AIminimax-m2-7$0.30$1.2$0.0610 h agotogether.aiT1

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of MiniMax M2.7$0$0.50$1$1.5Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26MiniMax API: first observed → $1.2 · 11 Sept 2026Together AI: first observed → $1.2 · 11 Sept 2026
  • MiniMax API
  • Together AI
  • Together AIfirst observed $1.211 Sept 2026
  • MiniMax APIfirst observed $1.211 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of MiniMax M2.7$0$0.10$0.20$0.30$0.40Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26MiniMax API: first observed → $0.30 · 11 Sept 2026Together AI: first observed → $0.30 · 11 Sept 2026
  • MiniMax API
  • Together AI
  • Together AIfirst observed $0.3011 Sept 2026
  • MiniMax APIfirst observed $0.3011 Sept 2026

Hardware fit37

Estimated

9 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit132.0 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit132.0 GB est.Yes
Apple M2 Ultra4bit132.0 GB est.Yes
NVIDIA H2004bit141 GB132.0 GB est.Yes
NVIDIA H200 NVL4bit141 GB132.0 GB est.Yes
NVIDIA B2004bit180 GB132.0 GB est.Yes
AMD Instinct MI300X4bit192 GB132.0 GB est.Yes
AMD Instinct MI325X4bit256 GB132.0 GB est.Yes
NVIDIA DGX B2004bit1,440 GB132.0 GB est.Yes
Apple M1 Ultra4bit132.0 GB est.No
Apple M3 Max4bit132.0 GB est.No
Apple M4 Max4bit132.0 GB est.No
Mac Studio (Apple M5 Max)4bit132.0 GB est.No
MacBook Pro (Apple M5 Max)4bit132.0 GB est.No
Apple M2 Max4bit132.0 GB est.No
Apple M1 Max4bit132.0 GB est.No
Apple M4 Pro4bit132.0 GB est.No
Mac mini (Apple M5 Pro)4bit132.0 GB est.No
MacBook Pro (Apple M5 Pro)4bit132.0 GB est.No
Apple M3 Pro4bit132.0 GB est.No
Apple M1 Pro4bit132.0 GB est.No
Apple M2 Pro4bit132.0 GB est.No
Apple M44bit132.0 GB est.No
iMac (Apple M4)4bit132.0 GB est.No
Mac mini (Apple M6)4bit132.0 GB est.No
MacBook Air (Apple M5)4bit132.0 GB est.No
MacBook Pro (Apple M5)4bit132.0 GB est.No
Apple M24bit132.0 GB est.No
Apple M34bit132.0 GB est.No
Apple M14bit132.0 GB est.No
NVIDIA GeForce RTX 30904bit24 GB132.0 GB est.No
NVIDIA GeForce RTX 40904bit24 GB132.0 GB est.No
NVIDIA GeForce RTX 50904bit32 GB132.0 GB est.No
NVIDIA A100 80GB4bit80 GB132.0 GB est.No
NVIDIA H100 SXM4bit80 GB132.0 GB est.No
NVIDIA H100 NVL4bit94 GB132.0 GB est.No
NVIDIA DGX Spark4bit128 GB132.0 GB est.No
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Change history41

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Attributes as of 12 Sept 2026 44 claims in force

Release date
9 Apr 2026
Status
deprecated
Openness
open-weights
License
Other
Architecture
MiniMaxM2ForCausalLM
Parameters
228.7B
Context window
204.8K tokens
Max output
131.1K tokens
Modalities
text
Input modalities
text
Output modalities
text
Quantization format
fp8
File size
230.1 GB
Hugging Face repo
MiniMaxAI/MiniMax-M2.7
Pipeline tag
text-generation
Downloads
1,323,648
Likes
1,247
Aa context window
204,800
Aa deprecated
Yes
Aa openness
open-weights
Gated
No
Groq model id
minimaxai/minimax-m2.7
Groq pricing note
Contact Sales
Groq status
preview
Hf inference providers
deepinfra, featherless-ai, novita
Is quantized
Yes
Last modified
2026-04-20T04:28:14+00:00
Library name
transformers
License name
other
License url
https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
Aa median output tokens per second
54.5
Downloads all time
6,947,056
Model type
minimax_m2
Openrouter id
minimax/minimax-m2.7
Openrouter listed at
18 Mar 2026
Reasoning
Yes
Structured output
Yes
Supported parameters
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Tags
transformers, safetensors, minimax_m2, text-generation, custom_code, fp8
Tool calling
Yes
Weights available
Yes
Weights dtype
BF16, F32, F8_E4M3
41 claims · 39 properties

Release daterelease_date3

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18 Mar 2026currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
9 Apr 2026supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
18 Mar 2026supersededOpenRouter public model & pricing listingT2mediumdeterministic

Statusstatus1

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deprecatedcurrentcurrentArtificial AnalysisT2mediumdeterministic

Opennessopenness1

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open-weightscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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othercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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MiniMaxM2ForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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228.7BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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204.8K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

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131.1K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

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textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

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textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

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textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Quantization formatquant_format1

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fp8currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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230.1 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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MiniMaxAI/MiniMax-M2.7currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

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text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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https://huggingface.co/MiniMaxAI/MiniMax-M2.7currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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1,323,648currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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1,247currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

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MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Gatedgated1

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NocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Groq model idgroq_model_id1

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minimaxai/minimax-m2.7currentcurrentGroq — docs & pricingT1highdeterministic

Groq pricing notegroq_pricing_note1

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Contact SalescurrentcurrentGroq — docs & pricingT1highdeterministic

Groq statusgroq_status1

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previewcurrentcurrentGroq — docs & pricingT1highdeterministic

Hf inference providershf_inference_providers1

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deepinfra, featherless-ai, novitacurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Is quantizedis_quantized1

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YescurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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2026-04-20T04:28:14+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License namelicense_name1

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othercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License urllicense_url1

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https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSEcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

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56.5currentcurrentArtificial AnalysisT2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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6,947,056currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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minimax_m2currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

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ValueValid from → toStatusSourceConfidenceExtractor
minimax/minimax-m2.7currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

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frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_pcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

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transformers, safetensors, minimax_m2, text-generation, custom_code, fp8currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tool callingtool_calling1

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YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Weights dtypeweights_dtype1

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BF16, F32, F8_E4M3currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

40

Source tiers

T1T23 / 37

Freshest observation

5 h ago

Conflicts

None

Source documents 7

Source documents
SourceDocumentTypeTierLast observedSnapshots
Together AI — pricingtogether.ai/pricing pricingT1· Official5 h ago1
Groq — docs & pricingconsole.groq.com/docs/models model_docsT1· Official5 h ago3
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 h ago6
Hugging Face Hub (public pages, model cards, papers)huggingface.co/MiniMaxAI/MiniMax-M2.7/raw/main/README.md model_cardT2· Quality secondary5 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/MiniMaxAI/MiniMax-M2.7 model_pageT2· Quality secondary6 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=MiniMaxAI&p=0&sort=downloads listingT2· Quality secondary6 h ago6
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary10 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (74/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →