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MiniMax posted the MiniMax-01 technical report, “MiniMax-01: Scaling Foundation Models with Lightning Attention”, to arXiv on 14 January 2025 (version 1). Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source
Date 2025-01-14 · publication Scope and limits The arXiv author list begins with “MiniMax” as a corporate author. Performance claims are out of scope.
The evidence 03 primary source Supports the claim
MiniMax-01: Scaling Foundation Models with Lightning Attention (arXiv abstract page, v1) ↗ arXiv · 2025-01-14
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Source excerpt “Submitted on 14 Jan 2025” Location in source arXiv abstract page, submission line
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-27
Source details and check notes Authors MiniMax Version Dated document, retrieved on 2026-10-27 (SHA-256 463ee26123dd37fde9b113cb9c871d1074fa0653113ad110bc348038308b92bc) directly from the publisher. Version: 2501.08313v1. Abstract page of version 1 (submitted 14 January 2025); later versions not inspected. Canonical address Open the canonical source ↗ Accessed 2026-10-27 Language English (en) Attribution MiniMax, “MiniMax-01: Scaling Foundation Models with Lightning Attention (arXiv abstract page, v1)”, 2025-01-14. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, Chinese frontier-AI institutions, second collection (research/china-labs-2). The quotation (5 words), a part of a longer passage that the pack joined across separate fields of the page, matched the retrieved text on 2026-10-27 and again in a fresh retrieval the same day. Read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, apostrophes, dashes and Unicode compatibility forms, so the source’s typography can differ. The pack had joined this field with others of the same page into one quotation; at admission each field became its own quotation (cross-family check, 2026-10-27). A cross-family machine check (2026-10-27, item K027) re-read the record’s sources and judged it partly supported; its corrections were applied at admission. No human editorial review. primary source Supports the claim
MiniMax-01: Scaling Foundation Models with Lightning Attention (arXiv abstract page, v1) ↗ arXiv · 2025-01-14
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Source excerpt “MiniMax-01: Scaling Foundation Models with Lightning Attention” Location in source arXiv abstract page, title
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-27
Source details and check notes Authors MiniMax Version Dated document, retrieved on 2026-10-27 (SHA-256 463ee26123dd37fde9b113cb9c871d1074fa0653113ad110bc348038308b92bc) directly from the publisher. Version: 2501.08313v1. Abstract page of version 1 (submitted 14 January 2025); later versions not inspected. Canonical address Open the canonical source ↗ Accessed 2026-10-27 Language English (en) Attribution MiniMax, “MiniMax-01: Scaling Foundation Models with Lightning Attention (arXiv abstract page, v1)”, 2025-01-14. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, Chinese frontier-AI institutions, second collection (research/china-labs-2). The quotation (7 words), a part of a longer passage that the pack joined across separate fields of the page, matched the retrieved text on 2026-10-27 and again in a fresh retrieval the same day. Read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, apostrophes, dashes and Unicode compatibility forms, so the source’s typography can differ. The pack had joined this field with others of the same page into one quotation; at admission each field became its own quotation (cross-family check, 2026-10-27). A cross-family machine check (2026-10-27, item K027) re-read the record’s sources and judged it partly supported; its corrections were applied at admission. No human editorial review. primary source Supports the claim
MiniMax-01: Scaling Foundation Models with Lightning Attention (arXiv abstract page, v1) ↗ arXiv · 2025-01-14
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Source excerpt “MiniMax” Location in source arXiv abstract page, author list, first entry
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-27
Source details and check notes Authors MiniMax Version Dated document, retrieved on 2026-10-27 (SHA-256 463ee26123dd37fde9b113cb9c871d1074fa0653113ad110bc348038308b92bc) directly from the publisher. Version: 2501.08313v1. Abstract page of version 1 (submitted 14 January 2025); later versions not inspected. Canonical address Open the canonical source ↗ Accessed 2026-10-27 Language English (en) Attribution MiniMax, “MiniMax-01: Scaling Foundation Models with Lightning Attention (arXiv abstract page, v1)”, 2025-01-14. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, Chinese frontier-AI institutions, second collection (research/china-labs-2). The quotation (1 words), a part of a longer passage that the pack joined across separate fields of the page, matched the retrieved text on 2026-10-27 and again in a fresh retrieval the same day. Read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, apostrophes, dashes and Unicode compatibility forms, so the source’s typography can differ. The pack had joined this field with others of the same page into one quotation; at admission each field became its own quotation (cross-family check, 2026-10-27). A cross-family machine check (2026-10-27, item K027) re-read the record’s sources and judged it partly supported; its corrections were applied at admission. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. Publication of a specific document or version. Publication of a policy is not evidence of implementation.
Date. Submission date of the cited arXiv version; not the model’s release date and not the date of later versions.
Record ID c2-minimax-01-report