Models

Find the right model by capability, context and price. Compare options or try one in Chat.

Filters

TasksRunnable

Text chat0Image understanding0Image generation0Audio understanding0Voice conversation0Music generation0Text to speech0Speech to text0Video generation0Embeddings2Rerank0

Find models you can run in Chat or try on their model page.

Input modalitiesLive

TextImageFileAudioVideo

Multiple selections require every chosen input type.

Context lengthLive

Any context32K or more128K or more1M or more

CapabilitiesLive

Tool callingReasoning controlsStructured outputs

Model authorsCatalog

aion-labs6alibaba6amazon5

Authors are model ID namespaces, not inference Providers.

Data policyPending

Waiting for verifiable endpoint- and Provider-level policy evidence.

Zero retentionPrivate endpoints

ProvidersPending

Waiting for the live model-to-endpoint Provider directory.

DeepInfraCloudflareSiliconFlow

639 CLSSAI models · 8 temporary previewsCapabilities and reference prices from the CLSSAI catalog. Preview models may not be available through CLSSAI.

Output / endpointExact metadata

2 of 647 modelsReference token prices are per million tokens.

Thenlper: GTE-Basethenlper/gte-baseAvailable

The gte-base embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, delivering efficient and effective semantic embeddings optimized for textual similarity, semantic search, and clustering applications.

by thenlperNov 18, 2025512 context$0.005/M input$0/M outputText → Embeddings

Run Embeddings

Thenlper: GTE-Largethenlper/gte-largeAvailable

The gte-large embedding model converts English sentences, paragraphs and moderate-length documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for information retrieval, semantic textual similarity, reranking and...

by thenlperNov 18, 2025512 context$0.01/M input$0/M outputText → Embeddings

Run Embeddings

Cclssai

One API. More models. Fewer dead ends.