A comprehensive roundup of every major model release this quarter — from GPT-5 Turbo to Claude 4 and Gemini Ultra 2.
The first quarter of 2026 has delivered an unprecedented wave of large language model releases, with every major lab shipping significant upgrades within weeks of each other. Here's a comprehensive look at what's new, what's improved, and what it means for practitioners.
OpenAI kicked things off in January with GPT-5 Turbo, a faster and cheaper variant of GPT-5 that retains 97% of the flagship's benchmark performance while cutting latency by 40%. The model introduces native vision-and-audio understanding in a single pass, eliminating the need for separate multimodal pipelines.
Anthropic followed in February with Claude 4, which emphasises safety and steerability. Claude 4 introduces 'Constitutional Chains'—a new alignment technique that lets developers specify behavioural constraints in natural language. In internal testing, Claude 4 reduced refusal rates on benign queries by 60% compared to Claude 3.5 while maintaining the same safety thresholds on adversarial prompts.
Google DeepMind released Gemini Ultra 2 at the end of February, leaning heavily into multimodal reasoning. The model can process interleaved sequences of text, images, video, and audio up to 10 million tokens, making it the first production model to support hour-long video analysis in a single context window.
Meta's Llama 4 Scout, released as open-weights under a permissive licence, has become the go-to choice for on-premise deployments. A 70B-parameter variant matches GPT-4o on most benchmarks while running on commodity hardware.
Vincony.com now supports all of these models in a single interface. Use the comparison tool to run the same prompt across every model and see results side-by-side—ideal for evaluation, prompt engineering, and selecting the right model for your workload.