Wenxin Large Model 4.5 is a next-generation native multimodal foundational model independently developed by Baidu. It achieves collaborative optimization through joint modeling of multiple modalities, demonstrating excellent multimodal understanding capabilities; it possesses more advanced language abilities, with comprehensive improvements in comprehension, generation, logic, and memory, as well as significant enhancements in hallucination reduction, logical reasoning, and coding capabilities.ERNIE-4.5-21B-A3B is an aligned open-source model with a MoE structure, having a total of 21 billion parameters and 3 billion activated parameters.
Pricing
- Input Tokens: $0.068 /M tokens
- Output Tokens: $0.272 /M tokens
Input Modalities
- Text
- Vision
Output Modalities
- Text
Capabilities
- Tools
- Tool calling
- Structured outputs
Providers
Baidu ernie-4.5-21b-a3b
Pricing$0.068$0.272
Context128K
Max output8K
Latency0.9S
Throughput98.7TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Baidu ernie-4.5-21b-a3b-thinking
Pricing$0.068$0.272
Context160K
Max output64K
Latency0.9S
Throughput98.7TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for ernie-4.5
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
