NeuralStackGoogle DeepMind released Gemini 2.5 on July 15 2026 with a native 10 million token context window and multimodal video processing. The model achieves 92 percent on MMLU and 89 percent on HumanEval using 2.1 trillion parameters. Pricing starts at 0.003 dollars per thousand input tokens for standard tiers.
Enterprise customers gain access through Vertex AI with private endpoint options available immediately. Google integrated the model into Workspace for document analysis across 500 page PDFs. Early testers reported 40 percent faster code migration tasks compared to Gemini 1.5 Pro.
Background development began in January 2025 after scaling the original Gemini architecture with new sparse attention layers. The training run consumed 180,000 H100 GPUs over four months ending June 2026. DeepMind collaborated with 12 external labs for safety red teaming before launch.
Competitors including OpenAI and Anthropic have announced similar context expansions but none have shipped production 10M windows yet. Google holds 38 percent of the cloud AI inference market according to Synergy Research June 2026 data. The release follows three months of internal deployment at Google Search and YouTube.
Why this matters
Long context windows reduce retrieval augmented generation costs for legal and financial firms handling full document sets. Gemini 2.5 enables single prompt analysis of entire codebases exceeding 50 million lines. This shifts competitive dynamics toward providers who can deliver reliable million token inference at scale.
Enterprises now evaluate multi year contracts with Google to lock in capacity ahead of expected demand spikes in Q4 2026. The model also accelerates internal Google product roadmaps for personalized video search and real time meeting summarization.
Further updates scheduled for September 2026 will add native tool use and agent orchestration layers. Google plans to open a limited research preview for academic institutions on July 22 2026.