Grok 4.3
Grok 4.3 Beta adds native video input and document generation to xAI's flagship, with a confirmed 0.5T-parameter checkpoint and 2M-token context window, at $300/month for SuperGrok Heavy subscribers.
Articles Tagged "Reasoning"
Best AI Models for Math Reasoning - April 2026
Gemini 3.1 Pro leads GPQA Diamond at 94.1% and HLE at 44.7% as AIME 2025 saturates; Claude Opus 4.7 and Kimi K2.6 join the top tier in April 2026.
Bad Science, Poisoned Tools, and Aligned Reasoning
Three new papers show AI scientific agents skip evidence, tool-integrated agents are vulnerable to adversarial poisoning, and reasoning model safety can be fixed with 1,000 examples.
GPT Image 2
GPT Image 2 (ChatGPT Images 2.0) brings 99%+ text accuracy, 2K resolution, web-search grounding, and a Thinking mode for character-consistent storyboards.
Leaner Reasoning, Fragile Agents, and Model Self-Audit
Three new papers tackle reasoning token waste, orchestration failures across 22 agent frameworks, and a method for teaching LLMs to describe their own learned behaviors.
EXAONE 4.5
LG AI Research's first open-weight vision-language model packs 33B parameters, 262K context, and STEM scores above GPT-5-mini - but ships under a non-commercial license.
GPT-Rosalind
OpenAI's first domain-specific reasoning model for biology and drug discovery, launched April 16 2026 as a US-only research preview with a 0.751 BixBench score.
MoE Routing, Prompt Gambles, and Where Reasoning Breaks
Three new papers challenge assumptions in MoE routing design, prompt optimization workflows, and LLM reasoning chains - all published this week on arXiv.
Arcee Trinity
Arcee Trinity-Large-Thinking is a 400B sparse MoE open-source reasoning model that ranks #2 on PinchBench at $0.85/M output tokens, 28x cheaper than Claude Opus 4.6.
Claude Opus 4.7
Anthropic's latest flagship model ships with 3x higher resolution vision, a new xhigh effort level, task budgets for cost control, cyber safeguards, and 13% better coding performance at the same $5/$25 pricing.
Compact Contexts, Smarter Fine-Tuning, and the Solver Trap
Three papers from today's arXiv: a joint fix for KV cache bloat and attention cost, new evidence that fine-tuning belongs in the middle of a transformer, and why stronger reasoning hurts behavioral simulation.
Claude Mythos Preview
Claude Mythos Preview is Anthropic's most capable model - restricted to 50 orgs via Project Glasswing, with 93.9% on SWE-bench Verified and thousands of autonomous zero-day discoveries.
