MODEL COLLECTIONGOOGLE · LANGUAGE MODEL FAMILY

Gemini API

Use Google Gemini through SandBase: Gemini 4 Carbon and Argon for the hardest reasoning, and Gemini 3.x Flash and Flash-Lite for fast multimodal work.

Explore the model lineup

Preview the output style, compare capabilities, then open any model for full specs, pricing, and a live Playground.

Gemini 4 Argon output preview
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Google

Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model and the first model of the Gemini 4 generation, generally available since October 13, 2026. Google trained it to keep context and precision across l...

  • chat
  • vision
  • audio_input
  • reasoning
PRICEFrom $4
MODE1M context
View model
Gemini 3.8 Flash output preview
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Google

Gemini 3.8 Flash

Gemini 3.8 Flash is a Flash-tier reasoning model in Google's Gemini 3 series, released in September 2026 and described by Google as its most intelligent Flash model as of release. Google positions it ...

  • chat
  • vision
  • audio_input
  • reasoning
PRICEFrom $1.5
MODE1M context
View model
Gemini 3.7 Flash output preview
llm
Google

Gemini 3.7 Flash

Gemini 3.7 Flash is a natively multimodal reasoning model in Google's Gemini 3 Flash line, released in August 2026, three weeks after 3.6 Flash. Google positions it as an everyday driver for developer...

  • chat
  • vision
  • audio_input
  • reasoning
PRICEFrom $1.5
MODE1M context
View model
Gemini 3.5 Flash Lite output preview
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Google

Gemini 3.5 Flash Lite

Gemini 3.5 Flash-Lite is the low-latency, high-throughput tier of Google's Gemini 3.5 family, released in July 2026 and described by Google as its fastest 3.5-class model. It is optimized for subagent...

  • chat
  • vision
  • audio_input
  • reasoning
PRICEFrom $0.3
MODE1M context
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Gemini 3.1 Pro Preview output preview
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Google

Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is the Pro-tier reasoning model of Google's Gemini 3 series, released in February 2026 to refine Gemini 3 Pro with better thinking, improved token efficiency and more grounded, ...

  • chat
  • vision
  • audio_input
  • reasoning
PRICEFrom $2
MODE1M context
View model
Gemini 4 Carbon output preview
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Google

Gemini 4 Carbon

Gemini 4 Carbon is Google's most capable Gemini 4 model, released on November 10, 2026 and positioned above Gemini 4 Argon. Google built it for long-horizon agentic work such as complex software engin...

  • chat
  • vision
  • audio_input
  • reasoning
PRICEFrom $4
MODE1M context
View model

Model lineup

Context window and positioning from each provider.

ModelContextPositioning
Gemini 3.8 Flash1049KGemini 3.8 Flash is a Flash-tier reasoning model in Google's Gemini 3 series, released in September 2026 and described by Google as its most…
Gemini 3.7 Flash1049KGemini 3.7 Flash is a natively multimodal reasoning model in Google's Gemini 3 Flash line, released in August 2026, three weeks after 3.6 Flash
Gemini 3.5 Flash Lite1049KGemini 3.5 Flash-Lite is the low-latency, high-throughput tier of Google's Gemini 3.5 family, released in July 2026 and described by Google as its…
Gemini 3.1 Pro Preview1049KGemini 3.1 Pro Preview is the Pro-tier reasoning model of Google's Gemini 3 series, released in February 2026 to refine Gemini 3 Pro with better…
Gemini 4 Argon1049KGemini 4 Argon is Google's flagship reasoning model and the first model of the Gemini 4 generation, generally available since October 13, 2026
Gemini 4 Carbon1049KGemini 4 Carbon is Google's most capable Gemini 4 model, released on November 10, 2026 and positioned above Gemini 4 Argon

Current Google Gemini models

SandBase serves Gemini on the OpenAI-compatible POST /v1/chat/completions. Gemini models are natively multimodal and accept audio input in addition to text and images.

  • Gemini 4 Carbon: Google's most capable Gemini 4 model, built for long-horizon work.
  • Gemini 4 Argon: the first Gemini 4 flagship reasoning model.
  • Gemini 3.8 and 3.7 Flash: fast reasoning models in the Gemini 3 Flash line.
  • Gemini 3.5 Flash-Lite: low-latency, high-throughput tier.
  • Gemini 3.1 Pro Preview: the Gemini 3 Pro-tier reasoning model.

All have a context window of about 1M tokens. For Google image and video, see Nano Banana and Veo.

Start using Gemini API on SandBase

Switch models by changing one field.

  1. 01

    Create an API key

    Sign in to the SandBase Console and create a key on the API Keys page. Keep it in an environment variable and never commit it to source control.

    TERMINAL

    export SANDBASE_API_KEY="YOUR_SANDBASE_API_KEY"
  2. 02

    Send a chat request

    Call the OpenAI-compatible Chat Completions API with model google/gemini-3.8-flash. Any OpenAI SDK works with base URL https://api.sandbase.ai/v1.

    TERMINAL

    curl https://api.sandbase.ai/v1/chat/completions \
      -H "Authorization: Bearer $SANDBASE_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"model": "google/gemini-3.8-flash", "messages": [{"role": "user", "content": "Explain vector databases in two sentences."}]}'
  3. 03

    Connect your AI tools

    Use the same key in Claude Code, Codex, Cursor and other clients. See Use in AI tools for setup.

Questions, answered

Gemini 4 Carbon or Argon?

Carbon is positioned above Argon for the most demanding long-horizon tasks. Argon is the first Gemini 4 flagship.

Can Gemini take audio input?

Yes. Current Gemini models on SandBase are tagged for audio input.

Which Gemini is cheapest?

Gemini 3.5 Flash-Lite is the low-latency, high-throughput tier.

Where are older Gemini models?

Gemini 2.5 and earlier 3.x versions are on the Google vendor page.

READY / SET / RUN

Build with Gemini API.

One key, consistent APIs, and usage-based pricing across every model on this page.

Get your API keyRead the docs