[KG] MiniMax — momentum
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
Raw payload
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"entity_slug": "minimax",
"entity_name": "MiniMax",
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"title": "MiniMax M3 Breaks Math Ceiling, Takes on OpenAI and Anthropic",
"narrative": "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?",
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"M3 exceeds human gold-medal math performance via MaxProof technique",
"Scored 55 on AI Index, signaling open-source leadership",
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"Partners with Nous Research and Together AI for ecosystem leverage",
"SambaNova achieves 850 t/s on M2.7 via hybrid H200-RDU inferencing"
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"generated_at": "2026-07-29T15:49:35.895049+00:00"
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