EXAONE 4.5 - LG's 33B Open-Weight VLM for Research
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.
Long context
Qwen3.5-Omni - Native Audio, Vision and Voice Model
Alibaba's Qwen3.5-Omni takes text, images, audio, and video as input and streams both text and speech output in a single end-to-end model with a 256K context window.
Qwen3.6-Max-Preview
Alibaba's first closed-weights flagship Qwen ships with a 256K context window, tops six agentic coding benchmarks, and ranks third on the Artificial Analysis Intelligence Index.
Claude Sonnet 4.6: Mid-Tier Model, Flagship Results
Anthropic's mid-tier model matches Opus 4.6 on computer use, leads all models on office productivity tasks, and costs five times less than the flagship at $3/$15 per million tokens.
Claude's 1M Context Window Now GA - No Premium Pricing
Anthropic made the 1M-token context window generally available for Claude Opus 4.6 and Sonnet 4.6, dropping the long-context pricing premium entirely - a 900K-token request now costs the same per token as a 9K one.
Best AI Models for Text Summarization - March 2026
Gemini 2.5 Flash Lite leads the Vectara hallucination leaderboard at 3.3% error rate while GPT-4o and Gemini 2.5 Pro dominate long-document tasks - full rankings, benchmark scores, and pricing.
Best Models for Long-Context Retrieval - March 2026
Claude Opus 4.6 leads multi-needle retrieval at 1M tokens with 76% on MRCR v2, while GPT-5.4 achieves near-perfect single-needle accuracy across its full 1M context.
GPT-5.4
OpenAI's most capable frontier model combines native computer use, 1M-token context, and three variants at $2.50/$15 per million tokens.
GPT-5.4 Lands with Computer Use and 1M Token Context
OpenAI ships GPT-5.4 with built-in computer use that beats human desktop performance, a 1 million token context window, and native Excel and Google Sheets integrations.
What Is an AI Context Window? A Plain-English Guide
A beginner-friendly guide to AI context windows: what they are, why they matter, and how to use them to get better results from any AI chatbot.
DeepSeek V3.2 vs V4 - What Changes With a Trillion Parameters
A pre-release comparison of DeepSeek V3.2 and V4 - examining the generational leap from 671B text-only to a trillion-parameter natively multimodal model with 1M context.
DeepSeek V4
DeepSeek V4 is an unreleased trillion-parameter MoE model with ~32B active parameters, native multimodal capabilities, a 1M-token context window, and optimization for Huawei Ascend chips - expected in the first week of March 2026.
