A King's College London study pitted Claude Sonnet 4, GPT-5.2, and Gemini 3 Flash against each other in nuclear crisis simulations. Tactical nuclear weapons were deployed in 20 out of 21 games. No model ever surrendered.
Comparing Kimi K2.5 and Gemini 2.5 Flash-Lite - Moonshot AI's 1T parameter open-weight powerhouse against Google's cheapest and fastest inference option.
Google adds an agent step to Opal, its no-code AI mini-app builder, powered by Gemini 3 Flash. The agent picks its own tools, remembers user preferences across sessions, and routes itself through workflows.
Google's cheapest Gemini model pairs a 1M-token context window with $0.10/$0.40 per million token pricing, multimodal input, and 359 tokens/second throughput for high-volume production workloads.
A data-driven comparison of Qwen3.5-Flash and Gemini 2.5 Flash-Lite - two models at the exact same $0.10/$0.40 per million token price point with 1M context windows but very different performance profiles.
Google DeepMind's Gemini 3.1 Pro leads on 13 of 16 benchmarks with 77.1% ARC-AGI-2, 94.3% GPQA Diamond, and a 1M-token context window at $2/M input.
