Google

Public id gemini-4-argon. Intro rate $2/$10 per million tokens through November 30, 2026, then $4/$20, from the Oct 13 blog footnote and the first Agent Platform table. Cached input on that table is $0.10, then $0.20. Two other Argon tables on the same page had no heading in the fetch. Explicit caching, image generation, and Live API are unsupported on the model docs page. Default sync output cap is 65,536; long decode can use the unified 1,048,576.

Google's high-capability multimodal model for long context, coding agents, and Vertex / AI Studio deployments.

1M token context. Strong coding and reasoning. Best Gemini model.

Fast, cost-efficient Gemini with 1M context window.

Stable 2.0 Flash for production workloads.

Ultra-lightweight model for high-volume tasks.

Open-weight instruction-tuned model. Free to download and run locally.

Mid-size open-weight model. Good balance for local deployment.

Small open-weight model. Runs on consumer hardware.

Quantization-aware training release. 72% less VRAM needed. Runs on 16GB GPUs.

Mid-size QAT model. Efficient inference for 8GB GPUs.

2M context window model. Good for long document analysis.

Fast, affordable 1M context model. Superseded by 2.5 Flash.

740M open multimodal embedding model. Maps text, images, video, and audio into one 768-d space. No token price on the October 6, 2026 card.

Text-to-image generation model. Priced per image.