References 687% CONFIDENCEOverall confidence: 87%How well the pin's source and references back up its dates.Weighted average of how firmly 6 references, the source included, support the pin's start and end times; a reference counts half as much for every 180 days older than the newestShow all pins at 75% confidence or better

The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.

• [1]90%
  minimax.io/news/minimax-m25

  minimax.io· Posted Oct 12, 2026· Starts Feb 12, 2026 ✓· 20% of score

  MiniMax's^[3] post "MiniMax M2.5: Built for Real-World Productivity" is dated 2026.2.12 and opens "Today we're introducing our latest model, MiniMax-M2.5"; the API release notes list the M2.5 series in February 2026.

• [2]90%
  MiniMaxAI/MiniMax-M2.5 · Hugging Face

  huggingface.co· Added Oct 12, 2026· 20% of score

  The open-weights model card: 229B parameters, Modified-MIT licence, the M2.5-Lightning and standard prices and speeds, and the results list (80.2% SWE-Bench Verified, 51.3% Multi-SWE-Bench, 76.3% BrowseComp with context management, 86.3 AIME25, 85.2 GPQA-Diamond).^[1]

• [3]90%
  Pay as You Go - MiniMax API Docs

  platform.minimax.io· Added Oct 12, 2026· 20% of score

  The current API price table: MiniMax^[1]-M2.5 at $0.30 per 1 million input tokens, $1.20 output, $0.03 cache read and $0.375 cache write; MiniMax-M2.5-highspeed at $0.60 and $2.40; M2.1 and M2 at the same $0.30 and $1.20.

• [4]85%
  MiniMax-M2.5 - Intelligence, Performance & Price Analysis - Artificial Analysis

  artificialanalysis.ai· Added Oct 12, 2026· 20% of score

  Independent profile: 23 (estimated) on the Intelligence Index v4.3.2, about 68 output tokens per second, a 205k-token context window, 230B total and 10B active parameters, $0.30 per 1 million input and $1.20 output.^[1]

• [5]85%
  The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence - arXiv

  arxiv.org· Published May 26, 2026· 12% of score

  The series paper that reviews M2 through M2.7: 229.9B total and 9.8B active parameters, the Forge agent RL system, and agent-driven data pipelines for agentic coding and office work.^[1]

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