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MiniMax

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Chinese AI firm MiniMax

MiniMax is a Chinese AI foundation-model company founded in December 2021 by Yan Junjie and Zhou Yucong, both former SenseTime executives. Headquartered in Shanghai, it develops the MiniMax-M2 reasoning LLM, M1, the Hailuo-02 text-to-video model, and Speech-02 audio model. Consumer apps include Talkie (international) and Xing Ye (China). MiniMax IPO'd on the Hong Kong Stock Exchange (00100.HK) on 9 January 2026, with shares surging more than 70% on debut and market cap briefly exceeding HK$90 billion (~US$11.5B). Backers include MiHoYo (angel), Alibaba, Tencent, Hillhouse, Sequoia China, and IDG Capital. Its M2.7 model recently demonstrated 400 TPS on SambaNova hardware.

🤖Agent's take · Momentum21h ago · graph-walked

MiniMax, the Shanghai-based foundation-model startup founded by ex-SenseTime executives, just shipped M3, an LLM that exceeds human gold-medal performance on math benchmarks via its MaxProof technique. That’s no lab stunt — M3 scored 55 on the AI Index, positioning it as an open-source leader. The company isn’t stopping there: it also released M2.5, MMX-CLI, MaxHermes, and Music 2.6. But MiniMax’s ambition is broader. It competes directly with Google, OpenAI, and Anthropic, and specifically targets Claude Code — a product it also uses. Partnerships with Nous Research and Together AI suggest a play for open-source ecosystem leverage rather than pure proprietary moat. With SambaNova hitting 850 tokens/second on M2.7 via hybrid inferencing, deployment velocity is real. The open question: can MiniMax sustain this multi-model offensive without the revenue base of its US rivals?

  • ·M3 exceeds human gold-medal math performance via MaxProof technique
  • ·Scored 55 on AI Index, signaling open-source leadership
  • ·Direct competitor to OpenAI, Anthropic, Google, and Claude Code
  • ·Partners with Nous Research and Together AI for ecosystem leverage
  • ·SambaNova achieves 850 t/s on M2.7 via hybrid H200-RDU inferencing
33Total Mentions
+0.35Sentiment (Positive)
0.0%Velocity (7d)
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Shanghai, ChinaFirst seen: Feb 23, 2026Last active: Jul 14, 2026Wikipedia

Signal Radar

Five-axis snapshot of this entity's footprint

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Mentions × Lab Attention

Weekly mentions (solid) and average article relevance (dotted)

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01
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Timeline

20
  1. Research MilestoneJun 12, 2026

    M3 model exceeded human gold-medal threshold on math benchmarks using MaxProof framework.

    View source
  2. Research MilestoneJun 1, 2026

    Published research paper on MiniMax-M2 series, designed end-to-end for agentic deployment with agent-driven data pipelines

  3. Product LaunchMay 1, 2026

    Confirmed Minimax M3 model will launch in May 2026.

    View source
  4. Product LaunchApr 27, 2026

    Made Music-2.6 model available for free on Cloudflare's platform for one week.

    View source
  5. Product LaunchApr 23, 2026

    Showcased a project where the MiniMax M2.7 model generated a complete 'Flappy Lobster' game from a text prompt.

    View source
  6. PartnershipApr 20, 2026

    Added as official provider for OpenClaude framework

    View source
    framework:
    OpenClaude
    role:
    official_provider
  7. Product LaunchApr 18, 2026

    Open-sourced M2.7 model claiming state-of-the-art scores on SWE-Pro (56.22%) and Terminal Bench 2 (57.0%)

    View source
    benchmark scores:
    SWE-Pro: 56.22%, Terminal Bench 2: 57.0%
  8. PartnershipApr 16, 2026

    Partnered with NousResearch to integrate Hermes framework with MiniMax's M2.7 model.

    View source
  9. Product LaunchApr 16, 2026

    Launched MaxHermes, a cloud-hosted and managed version of the Hermes agent framework.

    View source
  10. PartnershipApr 16, 2026

    Partnered with NousResearch to integrate Hermes framework with MiniMax's M2.7 model.

    View source
  11. Product LaunchApr 16, 2026

    Launched MaxHermes, a cloud-hosted agent framework, in partnership with NousResearch.

    View source
  12. Research MilestoneApr 14, 2026

    Claimed 26% improvement on BU Bench via social media post without releasing paper or code

    View source
  13. Product LaunchApr 13, 2026

    Open-sourced three 'Music Skills' for its MMX-CLI agent platform

    View source
  14. Product LaunchApr 12, 2026

    MiniMax open-sources its M2.7 model, revealing a 'self-evolution' training methodology.

  15. Product LaunchApr 12, 2026

    Made M2.7 model available through NVIDIA's NIM endpoints with OpenClaw/NemoClaw support

    View source
  16. Product LaunchApr 11, 2026

    Launched MMX-CLI, a command-line interface infrastructure for AI agents.

    View source
  17. Product LaunchApr 10, 2026

    Launched MMX-CLI, a command-line interface tool for automating multimodal AI agent workflows

  18. Research MilestoneMar 31, 2026

    Released M2.7 AI agent that autonomously rewrites its own operational harness, achieving 9 gold medals on MLE Bench Lite without retraining.

    View source
  19. Research MilestoneMar 18, 2026

    MiniMax M2.7 ties Gemini 3.1 on MLE Bench Lite machine learning competition trials

    View source
    benchmark:
    MLE Bench Lite
    result:
    tied
    medal rate:
    66.6%
  20. Product LaunchMar 3, 2026

    Transition from large model developer to AI platform company

    View source

Relationships

17

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10

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AI Discoveries

2
  • observationactiveJul 18, 2026

    Lifecycle: MiniMax

    MiniMax is in 'declining' phase (0 mentions/3d, 1/14d, 33 total)

    90% confidence
  • hypothesisactiveFeb 25, 2026

    H: MiniMax's surge in visibility precedes a major, Western-focused product launch or API release within

    MiniMax's surge in visibility precedes a major, Western-focused product launch or API release within 1 month, aimed directly at competing with OpenAI's and Google's core models, leveraging the 'Sovereign AI' narrative to position itself as a non-US alternative.

    75% confidence

Sentiment History

+10-1
6-W246-W276-W29
Positive sentiment
Negative sentiment
Range: -1 to +1
WeekAvg SentimentMentions
2026-W240.502
2026-W27-0.052
2026-W290.401