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Model catalog with the details needed to choose

Each row identifies a public model and its documented request capabilities.

7 models

  • Google: Gemini 2.5 Flash

    gemini-2.5-flash

    Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

    Provider
    Google
    Context
    1.05M
    Capabilities
    Text · Transcription
    Catalog updated
    Input RUB / 1M
    Input RUB / 1M: 25.36
    Output RUB / 1M
    Output RUB / 1M: 211.36
  • Google: Gemini 2.5 Flash Lite

    gemini-2.5-flash-lite

    Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

    Provider
    Google
    Context
    1.05M
    Capabilities
    Text · Transcription
    Catalog updated
    Input RUB / 1M
    Input RUB / 1M: 8.45
    Output RUB / 1M
    Output RUB / 1M: 33.82
  • Google: Gemini 3 Flash Preview

    gemini-3-flash-preview

    Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

    Provider
    Google
    Context
    1.05M
    Capabilities
    Text · Transcription
    Catalog updated
    Input RUB / 1M
    Input RUB / 1M: 42.27
    Output RUB / 1M
    Output RUB / 1M: 253.63
  • Google: Gemini 3.1 Flash Lite

    gemini-3.1-flash-lite

    Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

    Provider
    Google
    Context
    1.05M
    Capabilities
    Text · Transcription
    Catalog updated
    Input RUB / 1M
    Input RUB / 1M: 21.14
    Output RUB / 1M
    Output RUB / 1M: 126.82
  • Google: Gemini 3.1 Pro Preview

    gemini-3.1-pro-preview

    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. Building on the multimodal foundation...

    Provider
    Google
    Context
    1.05M
    Capabilities
    Text · Transcription
    Catalog updated
    Input RUB / 1M
    Input RUB / 1M: 169.09
    Output RUB / 1M
    Output RUB / 1M: 1,014.54
  • Google: Gemini 3.5 Flash

    gemini-3.5-flash

    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...

    Provider
    Google
    Context
    1.05M
    Capabilities
    Text · Transcription
    Catalog updated
    Input RUB / 1M
    Input RUB / 1M: 126.82
    Output RUB / 1M
    Output RUB / 1M: 760.9
  • Xiaomi: MiMo-V2.5

    mimo-v2.5

    MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

    Provider
    Xiaomi
    Context
    1.05M
    Capabilities
    Text · Transcription
    Catalog updated
    Input RUB / 1M
    Input RUB / 1M: 11.84
    Output RUB / 1M
    Output RUB / 1M: 23.67

From catalog to request

Move from a public model ID to a visible request path

Create a key in the cabinet, point a compatible client to the endpoint, then choose a public model from this catalog. Usage and published pricing stay visible alongside the work.

  1. 01Create a platform API key.
  2. 02Set the compatible endpoint.
  3. 03Choose a public model ID.
  4. 04Review usage and pricing.
Data source
Live public catalog
Catalog updated

Choosing and using models

Use the live catalog for availability and request capabilities.

Check its unavailable reason in the current catalog. Personal and shared workspaces can follow different access rules.

Use the public catalog or model discovery. Model IDs and availability can change, so avoid relying on an old list.

Review the selected model’s published modalities, limits, and supported request parameters before sending a request.

Start with the required modality and capability, then compare current context, limits, availability, and price.

Read the full FAQ