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Google

Google API and models: 19 models on Impossibl, including Nano Banana 2.1, Gemini 3.8 Flash, and Gemini 3.7 Flash. Compare pricing per million tokens, context windows, and capabilities between different Google models.

models

19

modalities · in → out

takes text, image, audio and video in, gives text, image, embedding and audio out

latest release

Nano Banana 2.1Oct 6, 2026

  • Nano Banana 2.1

    google/gemini-nano-banana-2.1

    Nano Banana 2.1 is Google's Flash-tier image generation and conversational editing model, the successor to Nano Banana 2.

    GoogleImage generation

    context
    65.54ktokens
    input price
    $1.50/1m tokens
    output price
    $30.00/1m tokensimage · text/thinking $7.50/1m
    released
  • Gemini 3.8 Flash

    google/gemini-3.8-flash

    Gemini 3.8 Flash is Google's current Flash-tier workhorse model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.

    GoogleText generationimage inputaudio inputvideo input

    context
    1.05mtokens
    input price
    $0.75/1m tokens
    output price
    $3.75/1m tokens
    released
  • Gemini 3.7 Flash

    google/gemini-3.7-flash

    Gemini 3.7 Flash is a Flash-tier multimodal model from Google for coding, agentic workflows, and reliable multi-step execution, now superseded by Gemini 3.8 Flash.

    GoogleText generationimage inputaudio inputvideo input

    context
    1.05mtokens
    input price
    $0.75/1m tokens
    output price
    $3.75/1m tokens
    released
  • Gemini Robotics-ER 2 Preview

    google/gemini-robotics-er-2-preview

    Gemini Robotics-ER 2 Preview is Google's embodied-reasoning vision-language model for robotics, taking text, image, video, and audio input and producing text for task planning.

    GoogleText generationimage inputaudio inputvideo input

    context
    131.07ktokens
    input price
    $1.00/1m tokens
    output price
    $5.00/1m tokens
    released
  • Gemini 3.5 Flash-Lite

    google/gemini-3.5-flash-lite

    Gemini 3.5 Flash-Lite is Google's fastest and most cost-effective model in the Gemini 3.5 family, built for high-throughput execution and high-volume automation.

    GoogleText generationimage inputaudio inputvideo input

    context
    1.05mtokens
    input price
    $0.30/1m tokens
    output price
    $2.50/1m tokens
    released
  • Gemini 3.6 Flash

    google/gemini-3.6-flash

    Gemini 3.6 Flash is a Flash-tier model from Google for coding, agentic workflows, and web and app development, balancing speed with multimodal capability.

    GoogleText generationimage inputaudio inputvideo input

    context
    1.05mtokens
    input price
    $0.75/1m tokens
    output price
    $3.75/1m tokens
    released
  • Gemini 3.5 Flash

    google/gemini-3.5-flash

    Gemini 3.5 Flash is a Flash-tier multimodal model from Google, launched as its workhorse for agentic and coding tasks and now positioned for high-throughput work.

    GoogleText generationimage inputaudio inputvideo input

    context
    1mtokens
    input price
    $1.50/1m tokens
    output price
    $9.00/1m tokens
    released
  • Gemini 3.1 Flash-Lite

    google/gemini-3.1-flash-lite

    Gemini 3.1 Flash-Lite is Google's generally available Flash-Lite model in the Gemini 3 family, optimized for speed and cost on high-volume workloads.

    GoogleText generationimage inputaudio inputvideo input

    context
    1mtokens
    input price
    $0.25/1m tokens
    output price
    $1.50/1m tokens
    released
  • Gemini 3.1 Flash TTS (preview)

    google/gemini-3.1-flash-tts-preview

    Gemini 3.1 Flash TTS (preview) is Google's text-to-speech model in the Gemini 3.1 family, generating natural, low-latency speech from text prompts.

    GoogleText to speech

    context
    unknown
    input price
    $1.00/1m tokens
    output price
    $20.00/1m tokens
    released
  • Gemma 4 31B

    google/gemma-4-31b

    Gemma 4 31B is the largest dense open-weight model in Google's Gemma 4 family, released under Apache 2.0 for advanced reasoning and agentic workflows.

    GoogleText generationimage input

    context
    128ktokens
    input price
    $0.99/1m tokens
    output price
    $1.49/1m tokens
    released
  • Gemini 3.1 Pro (preview)

    google/gemini-3.1-pro-preview

    Gemini 3.1 Pro (preview) is Google's Pro-tier frontier reasoning model, offered in preview for complex problem-solving, agentic coding, and data synthesis.

    GoogleText generationimage inputaudio inputvideo input

    context
    1mtokens
    input price
    $2.00/1m tokens
    output price
    $12.00/1m tokens
    released
  • Gemini 2.5 Flash-Lite

    google/gemini-2.5-flash-lite

    Gemini 2.5 Flash-Lite is the lightweight, fastest, and most budget-friendly multimodal model in Google's Gemini 2.5 family, built for ultra-low-latency, cost-sensitive workloads.

    GoogleText generationimage inputaudio inputvideo input

    context
    1mtokens
    input price
    $0.10/1m tokens
    output price
    $0.40/1m tokens
    released
  • Gemini 2.5 Flash

    google/gemini-2.5-flash

    Gemini 2.5 Flash is Google's Flash-tier workhorse in the Gemini 2.5 family, positioned as its price-performance choice for low-latency, high-volume tasks that still need reasoning.

    GoogleText generationimage inputaudio inputvideo input

    context
    1mtokens
    input price
    $0.30/1m tokens
    output price
    $2.50/1m tokens
    released
  • Gemini 2.5 Pro

    google/gemini-2.5-pro

    Gemini 2.5 Pro is Google's Pro-tier model in the Gemini 2.5 family, built for advanced reasoning, coding, mathematics, and scientific tasks.

    GoogleText generationimage inputaudio inputvideo input

    context
    1mtokens
    input price
    $1.25/1m tokens
    output price
    $10.00/1m tokens
    released
  • Gemini 3 Pro Image

    google/gemini-3-pro-image

    Gemini 3 Pro Image, also called Nano Banana Pro, is Google's image generation model for complex visual compositions.

    GoogleImage generation

    context
    131.07ktokens
    input price
    $2.00/1m tokens
    output price
    $120.00/1m tokensimage · text/thinking $12.00/1m
    released
    —
  • Gemini 3.1 Flash Image

    google/gemini-3.1-flash-image

    Gemini 3.1 Flash Image, also called Nano Banana 2, is Google's general-purpose image generation model.

    GoogleImage generation

    context
    65.54ktokens
    input price
    $0.50/1m tokens
    output price
    $60.00/1m tokensimage · text/thinking $3.00/1m
    released
    —
  • Gemini 3.1 Flash Lite Image

    google/gemini-3.1-flash-lite-image

    Gemini 3.1 Flash Lite Image, also called Nano Banana 2 Lite, is Google's speed-focused image generation model.

    GoogleImage generation

    context
    65.54ktokens
    input price
    $0.25/1m tokens
    output price
    $30.00/1m tokensimage · text/thinking $1.50/1m
    released
    —
  • Gemini 3.8 Flash TTS

    google/gemini-3.8-flash-tts

    Gemini 3.8 Flash TTS is Google's text-to-speech model in the Gemini 3.8 family, turning text prompts into expressive 24 kHz speech across 30 prebuilt voices.

    GoogleText to speech

    context
    unknown
    input price
    $0.50/1m tokens
    output price
    $9.00/1m tokens
    released
    —
  • Gemini Embedding 2

    google/gemini-embedding-2

    Gemini Embedding 2 is Google's embedding model for representing content as vectors that capture meaning.

    GoogleEmbeddings

    context
    8.19ktokens
    input price
    $0.20/1m tokens
    output price
    $0.00free/1m tokens
    released
    —

compare Google models

compare models with the same model type and billing unit. each comparison includes published api prices, context limits, and capabilities.

frequently asked questions

Which Gemini models are available through Impossibl?

The directory lists 19 models from Google available through the Impossibl API, including Nano Banana 2.1, Gemini 3.8 Flash, and Gemini 3.7 Flash. Open each model page for its API identifier, capabilities, and current pricing.

How much do Gemini models cost?

Google model prices vary by model and usage. All rates below are published base API rates in USD. For token-priced models, published input rates start at $0.10 per million input tokens. Published output rates start at $0.40 per million output tokens. Input and output minima may refer to different models. Long-context tiers can change prices for the whole request; check each model's thresholds and rates. Individual model pages include published cache prices and billing units. Applicable fees and workspace-specific pricing can affect the amount paid.

What is the cheapest Gemini model?

By published input rate, the cheapest Gemini text generation model on Impossibl is Gemini 2.5 Flash-Lite (google/gemini-2.5-flash-lite) at $0.10 per million input tokens and $0.40 per million output tokens. Cheapest by input rate is not always cheapest for a workload; output-heavy or cached requests can favor another model.

Does Impossibl add a markup to Google pricing?

No. Usage is charged at the provider's list price with 0% usage markup. Prepaid credit purchases include a 5% platform fee, and there is no subscription. The rates on this page are Google's published base rates, and usage comes off your balance when the request finishes.

What context windows do Gemini models support?

Among Google models with a published limit on Impossibl, the largest context window is 1,048,576 tokens, listed for Gemini 3.5 Flash-Lite, Gemini 3.6 Flash, and Gemini 3.7 Flash. Context limits vary by model and are separate from maximum output limits. Context windows are unpublished for 2 models.

What inputs and capabilities do Gemini models support?

Available model types include embeddings, image generation, text generation, and text to speech. Published input support includes audio, image, text, and video; support varies by model. Tool calling is published as unsupported for 5 models. Tool-calling support is unspecified for 14 models.

How do I use Gemini models through an API?

Use the exact model identifier from the model page with the Impossibl API. For example, select google/gemini-nano-banana-2.1 with /v1/images/generations. Endpoint compatibility depends on the selected model. The API quickstart explains how to create an API key and send a request.

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