Models
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Use Respan with your favorite frameworks and tools.
Google flagship reasoning model for software engineering, agents, mathematics and science. Shared 1048576-token input, thinking and output window.
by GoogleOct 13, 20261M contextfrom $1.00/M inputfrom $5.00/M output7.3M tokens
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro.
by GoogleOct 6, 202666K contextfrom $1.50/M inputfrom $7.50/M output1.8K tokens
Google's native-audio Gemini model for real-time voice and video conversations over the Live API.
by GoogleSep 15, 2026131K contextfrom $0.75/M inputfrom $4.50/M output
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
by GoogleSep 2, 20261M contextfrom $0.38/M inputfrom $1.88/M output18.1B tokens
by GoogleAug 26, 20264K context$2.00/M input$12.00/M output
Google's real-time speech-to-text model for bidirectional streaming over the Live API, with sub-second latency. Successor to Chirp 3.
by GoogleAug 26, 2026131K context$3.50/M input$21.00/M output
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.
by GoogleAug 13, 20261M contextfrom $0.38/M inputfrom $1.88/M output1.3M tokens
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance.
by GoogleAug 6, 20261M contextfrom $0.25/M inputfrom $1.50/M output176.9M tokens
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows.
by GoogleAug 6, 20261M contextfrom $1.00/M inputfrom $6.00/M output72.9K tokens
Google's embodied-reasoning vision-language model for robotics, served over the Live API for real-time text output with function calling.
by GoogleJul 30, 2026131K context$2.00/M input$10.00/M output
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
by GoogleJul 21, 20261M contextfrom $0.15/M inputfrom $1.25/M output234.1M tokens
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.
by GoogleJul 21, 20261M contextfrom $0.38/M inputfrom $1.88/M output84 tokens
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration.
by GoogleJun 30, 202666K contextfrom $0.25/M inputfrom $1.50/M output5.2K tokens
Google's Live API model for continuous speech-to-speech translation across 70+ languages that keeps the speaker's intonation, pacing and pitch.
by GoogleJun 9, 202616K context$3.50/M input$21.00/M output
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro.
by GoogleMay 28, 2026131K contextfrom $2.00/M inputfrom $12.00/M output1.3K tokens
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution loops, supporting text, image, video, audio, and PDF inputs. Defaults to medium thinking effort for faster and more cost-efficient responses, with full support for thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs.
by GoogleMay 19, 20261M contextfrom $0.75/M inputfrom $4.50/M output18.2M tokens
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at a fraction of the compute cost. Supports multimodal input including text, images, and video (up to 60s at 1fps). Features a 256K token context window, native function calling, configurable thinking/reasoning mode, and structured output support. Released under Apache 2.0.
by GoogleApr 2, 2026262K contextfrom $0.00/M inputfrom $0.00/M output552.2K tokens
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function calling, and multilingual support across 140+ languages. Strong on coding, reasoning, and document understanding tasks. Apache 2.0 license.
by GoogleApr 2, 2026262K contextfrom $0.00/M inputfrom $0.00/M output532.4K tokens
Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning. The models are available in four distinct sizes: **E2B**, **E4B**, **26B A4B**, and **31B**. Their diverse sizes make them deployable in environments ranging from high-end phones to laptops and servers, democratizing access to state-of-the-art AI.
by GoogleApr 2, 202633K context$0.10/M input$0.20/M output54.9K tokens
Veo 3.1 Lite is the lowest-cost tier of Google's Veo 3.1 video generation model. It creates short clips with natively generated audio at 720p or 1080p from a text prompt or a starting image.
by GoogleMar 31, 20264K contextfrom $0.00/M inputfrom $0.03/M output
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