MiniMax
CompanyMiniMax is a generative AI startup that builds large language models, including the open-weights MiniMax M2.7 MoE model aimed at agentic coding and developer workflows. Its models regularly appear on benchmark leaderboards such as SWE-Bench Pro and are referenced in tooling stacks from NVIDIA and others.
Stories
Completed digest stories linked to this service.
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OpenRouter usage shows teams favor cheaper long‑context coding models; plan for ...2026-06-16OpenRouter’s latest usage data shows coding teams are shifting toward cheaper long‑context models while new re...
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Context beats model: a cheap agent tops SWE-bench Verified2026-05-09A low-cost model paired with richer repo-aware context just topped SWE-bench Verified, showing agent wiring ca...
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SWE-Bench Pro leaderboard: small gains at the top, big contexts, and mostly self...2026-04-04A new SWE-Bench Pro leaderboard shows top code models clustered around 0.55–0.58, with large contexts and self...
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Antigravity Awesome Skills v9.4.0 hardens the agentic coding stack2026-04-01The Antigravity Awesome Skills library shipped v9.4.0 focused on validation, CI guardrails, and marketplace sy...
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AI model training isn’t your biggest cost center anymore—the exploration, data, ...2026-03-28New research suggests final training runs are a small share of AI model costs, with exploration, data work, an...
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Coding Benchmarks Shake-up: Qwen 3.5, MiniMax M2.5, and a SWE-bench Reality Chec...2026-03-03Open models like Alibaba’s Qwen 3.5 and MiniMax M2.5 post strong coding-agent results, but OpenAI’s audit of S...