Model catalog
One endpoint, every model. Compare context windows, capabilities and real per-token pricing side by side, then swap the model string in your request — nothing else changes.
- 351
- Models
- 35
- Providers
- 11
- Free to try
- $0.0001
- Cheapest input / 1M
26 of 351 models
EmbeddingGemini Embedding 2
google/gemini-embedding-2
Google’s first fully multimodal Embedding model that is capable of mapping text, image, video, audio, and PDFs and their interleaved combinations thereof into a single, unified vector space. Built on the Gemini architecture, it supports 100+ languages.
- Context
- —
- In / 1M
- $0.200
- Out / 1M
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EmbeddingEmbed v1 0.6b
perplexity/pplx-embed-v1-0.6b
pplx-embed-v1 is a state-of-the-art text embedding model optimized for real-world, web-scale retrieval tasks.
- Context
- 32K
- In / 1M
- $0.0040
- Out / 1M
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- Embedding
Embed v1 4b
perplexity/pplx-embed-v1-4b
pplx-embed-v1 is a state-of-the-art text embedding model optimized for real-world, web-scale retrieval tasks.
- Context
- 32K
- In / 1M
- $0.030
- Out / 1M
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- Embedding
Voyage 4
voyage/voyage-4
Optimized for general-purpose and multilingual retrieval quality. All embeddings created with the 4 series are compatible with each other.
- Context
- 32K
- In / 1M
- $0.060
- Out / 1M
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- Embedding
Voyage 4 Large
voyage/voyage-4-large
The best general-purpose and multilingual retrieval quality. All embeddings created with the 4 series are compatible with each other.
- Context
- 32K
- In / 1M
- $0.120
- Out / 1M
- —
- Embedding
Voyage 4 Lite
voyage/voyage-4-lite
Optimized for latency and cost. All embeddings created with the 4 series are compatible with each other.
- Context
- 32K
- In / 1M
- $0.020
- Out / 1M
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EmbeddingQwen3 Embedding 0.6B
alibaba/qwen3-embedding-0.6b
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).
- Context
- 33K
- In / 1M
- $0.010
- Out / 1M
- —
- Embedding
Qwen3 Embedding 4B
alibaba/qwen3-embedding-4b
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).
- Context
- 33K
- In / 1M
- $0.020
- Out / 1M
- —
- Embedding
Qwen3 Embedding 8B
alibaba/qwen3-embedding-8b
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).
- Context
- 33K
- In / 1M
- $0.050
- Out / 1M
- —
EmbeddingCodestral Embed
mistral/codestral-embed
Code embedding model that can embed code databases and repositories to power coding assistants.
- Context
- —
- In / 1M
- $0.150
- Out / 1M
- —
- Embedding
Gemini Embedding 001
google/gemini-embedding-001
State-of-the-art embedding model with excellent performance across English, multilingual and code tasks.
- Context
- —
- In / 1M
- $0.150
- Out / 1M
- —
- Embedding
Voyage 3.5
voyage/voyage-3.5
Voyage AI's embedding model optimized for general-purpose and multilingual retrieval quality.
- Context
- —
- In / 1M
- $0.060
- Out / 1M
- —
- Embedding
Voyage 3.5 Lite
voyage/voyage-3.5-lite
Voyage AI's embedding model optimized for latency and cost.
- Context
- —
- In / 1M
- $0.020
- Out / 1M
- —
EmbeddingEmbed v4.0
cohere/embed-v4.0
A model that allows for text, images, or mixed content to be classified or turned into embeddings.
- Context
- 128K
- In / 1M
- $0.120
- Out / 1M
- —
- Embedding
voyage-3-large
voyage/voyage-3-large
Voyage AI's embedding model with the best general-purpose and multilingual retrieval quality.
- Context
- —
- In / 1M
- $0.180
- Out / 1M
- —
- Embedding
Voyage Code 3
voyage/voyage-code-3
Voyage AI's embedding model optimized for code retrieval.
- Context
- —
- In / 1M
- $0.180
- Out / 1M
- —
- Embedding
Text Embedding 005
google/text-embedding-005
English-focused text embedding model optimized for code and English language tasks.
- Context
- —
- In / 1M
- $0.025
- Out / 1M
- —
- Embedding
Voyage Finance 2
voyage/voyage-finance-2
Voyage AI's embedding model optimized for finance retrieval and RAG.
- Context
- —
- In / 1M
- $0.120
- Out / 1M
- —
EmbeddingTitan Text Embeddings V2
amazon/titan-embed-text-v2
Amazon Titan Text Embeddings V2 is a light weight, efficient multilingual embedding model supporting 1024, 512, and 256 dimensions.
- Context
- —
- In / 1M
- $0.020
- Out / 1M
- —
- Embedding
Voyage Law 2
voyage/voyage-law-2
Voyage AI's embedding model optimized for legal retrieval and RAG.
- Context
- —
- In / 1M
- $0.120
- Out / 1M
- —
- Embedding
Text Multilingual Embedding 002
google/text-multilingual-embedding-002
Multilingual text embedding model optimized for cross-lingual tasks across many languages.
- Context
- —
- In / 1M
- $0.025
- Out / 1M
- —
Embeddingtext-embedding-3-large
openai/text-embedding-3-large
OpenAI's most capable embedding model for both english and non-english tasks.
- Context
- —
- In / 1M
- $0.130
- Out / 1M
- —
- Embedding
text-embedding-3-small
openai/text-embedding-3-small
OpenAI's improved, more performant version of their ada embedding model.
- Context
- —
- In / 1M
- $0.020
- Out / 1M
- —
- Embedding
Voyage Code 2
voyage/voyage-code-2
Voyage AI's embedding model optimized for code retrieval (17% better than alternatives). This is the previous generation of code embeddings models.
- Context
- —
- In / 1M
- $0.120
- Out / 1M
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