Ling-3.0-Flash-Sante is a Mixture-of-Experts (MoE) model with enhanced capabilities across health and medicine. Built on Ling-3.0-Flash, it has 124 billion total parameters and activates approximately 5.1 billion parameters per token. The model excels in medical knowledge reasoning, clinical safety, evidence-based retrieval, and long-horizon medical tasks, while retaining strong general capabilities in reasoning, coding, and agentic tasks.
Providers #
Route requests across multiple providers. Copy a provider slug to set your preference.
$0.06
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/ M tokens
$0.18
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/ M tokens Read:
0.012
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Write:
-/ M tokens262.14K--
Uptime #
24hours Direct request success rate on AI Gateway and per-provider.
Throughput #
24hours P50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency #
24hours P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Activity #
Token volume and request traffic to this model over time.
Benchmarks #
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis
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
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