The GME-Qwen2VL series is a unified multimodal Embedding model trained based on the Qwen2-VL multimodal large language model (MLLMs). The GME model supports three types of inputs: text, images, and image-text pairs. All these input types can generate universal vector representations and exhibit excellent retrieval performance.
Pricing
- Input Tokens: $0.138 /M tokens
- Output Tokens: $0.138 /M tokens
Input Modalities
- Text
- Vision
- Video
Providers
Baidu gme-qwen2-vl-2b-instruct
Pricing$0.138$0.138
Context0
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Latency-
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Uptime
0.00% uptime 2 days ago
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0.00% uptime today
Performance for gme-qwen2-vl-2b-instruct
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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