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Comparison of OpenAI: Text Embedding 3 Large (batch), XingChen: Xing4.0 29B A4B (free)
2 modelsopenaiOpenAI: Text Embedding 3 Large (batch)Remove ×xingchen-agiXingChen: Xing4.0 29B A4B (free)Remove ×
What’s differenttext-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between…Apache-2.0 weights with switchable thinking; supports domain fine-tuning and vLLM, SGLang or KTransformers deployment.
DateOct 30, 2025ListedOct 16, 2026Listed
Listed rate$0.065 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.00 in / $0.00 out/ 1M tokensPhala · via OpenRouter · all routes ↗phala
Provider endpoints1 endpoint →2 endpoints →
Context window8.2K262.1K
Max output7.4K235.9K
Parameters—29B
Tool callingNot reportedSupported
Structured outputNot reportedSupported
ReasoningNot reportedSupported
Open weightsNot reportedSupported

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