Embeddings

gigachat · Embedding model

Embeddings is listed here as a embedding model from gigachat. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

gigachat-gigachat-embeddings

Input

N/A

Output

N/A

Cached input

N/A

Context window

512

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Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

No matching data

Limits

Context window

512

Max input tokens

512

Max tokens

512

Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	-
Function calling	-
Parallel function calling	-
Tool choice	-
Prompt caching	-
Reasoning	-
Response schema	-
System messages	-
Audio input	-
Audio output	-
Web search	-
PDF input	-
Video input	-

Sources

Source links	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-07T08:19:07.388Z