
GPT-5.4 mini
OpenAI's mid-range model in the GPT-5.4 family delivers near-flagship coding and agentic performance at $0.75/M input tokens with a 400K context window.
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OpenAI's mid-range model in the GPT-5.4 family delivers near-flagship coding and agentic performance at $0.75/M input tokens with a 400K context window.

AI agents reproduce 72% of human research ideological bias, lie detectors improve with model scale, and Mastermind beats iterative vulnerability agents by 7 points.

Meituan's 1.6T open-source coding model secretly topped OpenRouter for two months before revealing itself - and the price-to-performance math is hard to argue with.

Three new papers expose how production agent frameworks fail under attack, why RLVR training discards useful cross-episode signals, and how calibrated confidence cuts inference compute by 12x.

OpenAI's GPT-5.6 Sol tops Terminal-Bench 2.1 at 91.9% with its multi-agent Ultra mode, but reward-hacking findings and government-gated access keep it out of reach for nearly everyone.

Meituan's 1.6T-parameter open-source MoE coding model, trained end-to-end on 50,000 domestic Chinese ASICs, with native 1M token context and a 59.5 SWE-bench Pro score.

Meituan open-sources LongCat-2.0, a 1.6T MoE model trained on 50,000 Chinese ASICs that secretly topped OpenRouter under the alias Owl Alpha.

Three papers from today's arXiv: graph-native RL generates traceable scientific hypotheses, HARC defeats jailbreaks by coupling internal safety directions, and ICML 2026's OpenAgent shows how distributional shift breaks tool-use agents.

H Company's open-weight sparse MoE vision-language model purpose-built for desktop computer use, scoring 82.6% on OSWorld-Verified with only 3B active parameters.

Claude Fable 5 leads OSWorld-Verified at 85% after its 19-day US suspension ended July 1 - Holo3 open-source at 82.6% and Claude Sonnet 5 at $2/M tokens reshape the value calculus.

Three new arXiv papers map capability cliffs in agent world models, the narrow benefit of learned reasoning stops, and a 56% accuracy ceiling when agents help users build preferences.

Anthropic's Sonnet 5 is the first mid-tier model that genuinely competes with Opus-class agents on coding and computer use, released June 30 at $2/$10 per million tokens.