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Minimax M3

ai model↑↑ surging
M3MiniMax-M3Minimax M1
5Total Mentions
+0.62Sentiment (Very Positive)
+2.0%Velocity (7d)
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First seen: Apr 27, 2026Last active: 5d ago

Signal Radar

Five-axis snapshot of this entity's footprint

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MentionsMomentumConnectionsRecencyDiversity
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Mentions × Lab Attention

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

mentionsrelevance
01
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Timeline

3
  1. Research MilestoneJun 8, 2026

    MiniMax-M3 scored 55 on Artificial Analysis Intelligence Index, set to become leading open-source model

    View source
    score:
    55
  2. Product LaunchJun 3, 2026

    MiniMax announced M3 model with sparse attention, 1M context window, and multimodal support, with Together AI providing inference serving.

    View source
  3. Product LaunchMay 26, 2026

    MiniMax teased M3 with sparse attention achieving 9.7x prefilling and 15.6x decoding speedup at 1M tokens

    View source

Relationships

3

Developed

Competes With

Licensed

Frequently appears with

1

Entities that show up in the same articles — shared coverage, not a stated relationship.

Recent Articles

4

Predictions

No predictions linked to this entity.

AI Discoveries

3
  • observationactive4d ago

    Sentiment divergence: MiniMax vs Minimax M3

    MiniMax and Minimax M3 have a 'developed' relationship (4 evidence articles) but their recent sentiment has diverged significantly: MiniMax=0.20, Minimax M3=0.57 (gap=0.37). Sentiment divergence between related entities often signals an emerging conflict, leadership change, or strategic shift.

    70% confidence
  • discoveryactive4d ago

    Minimax M3 is a stealth competitor to both OpenAI and Google in the 'efficient frontier' race

    Minimax M3 (3 mentions/7d) appears isolated — no co-occurrences with Google, Claude Code, or Apple. But this is deceptive. Minimax's M3 model is optimized for efficiency (3x cheaper than GPT-4o on some benchmarks). The unconnected pair Google ↔ Minimax M3 is the signal: Google's $920M/month compute

    65% confidence
  • discoveryactive4d ago

    Causal: Google commits $920M/month for compute ( → Minimax M3 or another efficient model wi

    Cause: Google commits $920M/month for compute (self-built TPU infrastructure) Effect: Google becomes largest AI compute consumer, reducing Nvidia dependency but creating cost vulnerability Predicted next: Minimax M3 or another efficient model will demonstrate 10x cost advantage over Google's TPU-tra

    62% confidence

Sentiment History

+10-1
6-W186-W236-W24
Positive sentiment
Negative sentiment
Range: -1 to +1
WeekAvg SentimentMentions
2026-W180.601
2026-W220.801
2026-W230.501
2026-W240.602