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14 entries with this tag
One new research article published: Qwen3.8-Max, Alibaba's 2.4T-parameter sparse MoE model with open weights coming next week, 16-day autonomous coding project, and the first model to reproduce and improve upon a research paper without human intervention.
Alibaba released Qwen3.8-Max on August 3, 2026 — a 2.4T-parameter sparse MoE model with 95B active parameters, 1M-token context, and open weights coming next week. Covers the architecture, benchmark results (86.6 Terminal-Bench 2.1, 56.6 DeepSWE 1.1, 73.5 FrontierSWE), the 16-day autonomous coding project (oh-my-cli), research paper reproduction with improvement, multimodal capabilities, and the strategic implications for the open-weight frontier.
DeepSeek officially released DeepSeek-V4-Flash-0731 on July 31, 2026 — a 284B/13B MoE model with substantially enhanced agentic capabilities, MIT-licensed weights, 1M-token context, and API pricing at $0.14/M input tokens (99% cheaper than Claude Opus 4.8). Covers the architecture (CSA+HCA hybrid attention, mHC connections, Muon optimizer), DSpark speculative decoding, benchmark results across 9 agentic coding tasks, Deep Code CLI, Responses API/Codex integration, and the strategic implications for the global AI price war.
Moonshot AI releases Kimi K3 full weights (July 27, 2026). Comprehensive analysis of the 2.8T-parameter model: KDA architecture, 896-expert MoE, native multimodality, frontier coding benchmarks, and what the open-weight release means for the ecosystem.
One new research article published: deep analysis of Alibaba's Qwen3.8-Max-Preview announcement at WAIC Shanghai — a 2.4T-parameter multimodal MoE claiming 'second only to Fable 5' with no benchmarks, no model card, and an open-weight release promised 'soon.'
Alibaba previews Qwen3.8-Max on July 19, 2026 at WAIC Shanghai — a 2.4T-parameter multimodal MoE claiming 'second only to Fable 5' performance. No benchmarks, no model card, no active-parameter count, no license yet. Open weights promised 'soon.' Available now via Token Plan, Qoder, and QoderWork at 10% preview pricing. Analysis of what's confirmed, what's claimed, and what to wait for.
Thinking Machines Lab releases Inkling on July 15, 2026 — a 975B-parameter open-weights multimodal MoE (41B active) with native text/image/audio, controllable thinking effort, self-improvement via Tinker, and Apache 2.0 licensing. Scores 77.6% on SWE-Bench Verified, 91.4% on VoiceBench, and 73.5% on MMMU Pro, with Inkling-Small (12B active) matching or beating the flagship on key benchmarks.
Two new research articles published: comprehensive deep-dive on Kimi K3 (2.8T open-weight frontier model) and the AI News Weekly roundup covering the great model price war, xAI data exfiltration, and global AI governance acceleration.
Moonshot AI launches Kimi K3 on July 16, 2026 — the world's first open 3T-class model with 2.8 trillion parameters, 1M context, native vision, and frontier-level coding performance. Achieves 67.5% on DeepSWE, 88.3% on Terminal-Bench 2.1, and 56% on Humanity's Last Exam, at $3/$15 per million tokens with open weights coming July 27.
One new research article published: comprehensive deep-dive on MiniMax M2.7 — the first model to participate in its own evolution through self-improving agent harnesses, achieving 56.2% SWE-Pro at $0.30/M pricing with open weights.
MiniMax launches M2.7 on July 16, 2026 — the first model to participate in its own evolution through self-improving agent harnesses. Achieves 56.22% on SWE-Pro, 55.6% on VIBE-Pro, and 66.6% medal rate on MLE Bench Lite, all at $0.30/$1.20 per million tokens with open weights available on Hugging Face.
June 3: Two major research articles — MiniMax M3 as the open-weight challenger to the closed-source frontier, and Qwen3.6-27B proving a 27B dense model can beat a 397B MoE. Together they complete the picture started yesterday: the frontier has fractured, and the open-weight models are closing in from different angles.
DeepSeek AI model family — V4-Pro open-source MoE leader for coding and long-context; cost king of the 2026 frontier
Alibaba's Qwen model family — open-weight leaders (Qwen3.6-27B) and closed-weight pivot (Qwen3.7 Max/Plus); SEA-LION regional variant