
MiniMax M3 Makes 1M Context Viable With Sparse Attention
MiniMax M3 uses sparse attention to cut long-context inference cost 20x, topping GPT-5.5 on coding benchmarks at a fraction of the price.
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MiniMax M3 uses sparse attention to cut long-context inference cost 20x, topping GPT-5.5 on coding benchmarks at a fraction of the price.

MiniMax M3 arrives as the first open-weight model to combine frontier coding, 1M-token context, and native multimodality - at a fraction of proprietary pricing - but every benchmark figure is self-reported and the weights weren't even shipped at launch.

MiniMax M3 is an open-weight frontier model with a 1M-token context window, native multimodal input, and strong agentic coding at $0.60/M input tokens.

Chinese AI providers now handle over 60% of all tokens routed through OpenRouter, up from less than 2% just a year ago.

MiniMax M2.7 is the first open-weight frontier model to automate 30-50% of its own training pipeline - but a controversial license change and sluggish speed complicate the story.

OpenAI, Anthropic, Google, and Microsoft are now sharing attack detection data through the Frontier Model Forum to collectively block Chinese adversarial distillation campaigns.

MiniMax's new 2,300B MoE model tops the Artificial Analysis Intelligence Index and claims to run 30-50% of its own RL research workflow autonomously.
MiniMax M2.7 is a 230B MoE coding agent that handles 30-50% of MiniMax's own RL research workflow, scoring 56.22% on SWE-Pro and 78% on SWE-bench Verified at $0.30/M input tokens.

MiniMax M2.5 matches Claude Opus 4.6 on SWE-Bench at 1/20th the price - but a spike in hallucinations and a distillation controversy complicate the story.

Kimi K2.5 and MiniMax M2.5 compared side by side - two Chinese MoE models where the smaller, cheaper one actually wins on SWE-bench. A detailed analysis of when each model delivers more value.

MiniMax M2.5 is a 230B MoE model (10B active) that scores 80.2% on SWE-Bench Verified while costing 1/10th to 1/20th of frontier competitors like Claude Opus 4.6 and GPT-5.2.

Anthropic accuses three Chinese AI labs of industrial-scale distillation attacks using 24,000 fraudulent accounts and 16 million exchanges with Claude. MiniMax ran the largest operation at 13 million exchanges. None of the three companies have responded.