The new version of the Wenxin Yiyan large model significantly improves capabilities in image understanding, creation, translation, and coding. It supports a context length of up to 32K tokens for the first time, with a notable reduction in the latency of the first token.
Pricing
- Input Tokens: $0.400 /M tokens
- Output Tokens: $1.200 /M tokens
Input Modalities
- Text
- Vision
Output Modalities
- Text
Capabilities
- Tools
- Tool calling
- Structured outputs
Providers
Baidu ernie-4.5-turbo-vl-latest
Pricing$0.400$1.200
Context139K
Max output16K
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Baidu ernie-4.5-turbo-vl
Pricing$0.400$1.200
Context139K
Max output16K
Latency0.6S
Throughput24.4TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Baidu ernie-4.5-turbo-vl-32k-preview
Pricing$0.400$1.200
Context43K
Max output16K
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for ernie-4.5-turbo-vl
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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Try this model
Python
