This is the Tongyi Laboratory's multilingual unified text vector model trained based on Qwen3, which significantly improves performance in text retrieval, clustering, and classification compared to version V3; it achieves a 15% to 40% improvement on evaluation tasks such as MTEB multilingual, Chinese-English, and code retrieval; supports user-defined vector dimensions ranging from 64 to 2048.
Pricing
- Input Tokens: $0.080 /M tokens
- Output Tokens: $0.080 /M tokens
Input Modalities
- Text
Providers
Alibaba Cloud text-embedding-v4
Pricing$0.080$0.080
Context0
Max output0
Latency-
Throughput-
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Performance for text-embedding-v4
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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