The new-generation Wenxin model, Wenxin 5.1, is a natively multimodal large model. It adopts a native unified multimodal modeling approach to jointly model text, images, audio, and video, providing comprehensive multimodal capabilities. Wenxin 5.1’s core abilities have been comprehensively upgraded and it performs excellently on benchmark datasets, with particularly strong results in multimodal understanding, instruction following, creative writing, factuality, agent planning, and tool use
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-$0.588-0.882/ M tokens$2.646-3.235/ M tokensRead:-/ M tokensWrite:-/ M tokens128K5.87s38.3tps
Providers
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ProviderCache Hit RateContext
Baidu
baidu
Uptime
24hoursDirect request success rate on AI Gateway and per-provider.
Oct 26, 20:14
Baidu100.00%
Throughput
24hoursP50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Oct 26, 19:00
Baidu38.3 tps
Latency
24hoursP50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Oct 26, 19:00
Baidu5.87s
Activity
Token volume and request traffic to this model over time.
Token Consumption
Oct 25
Baidu7.7M
Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis
Artificial AnalysisNo benchmark data is available for this model.
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All
Token Ranking
No app usage is available for this period.
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