Ling-3.0-tiny is an efficient 7.9B-parameter MoE model with only 1.3B active parameters per token. It is designed for responsive AI agents, reliable instruction following, and natural multi-turn conversations. The model features a 256K context window, native function calling, prompt caching, and switchable Thinking and Instant modes. It supports long-context, tool-using workflows with lower active-compute requirements.
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ProviderCache Hit RateContext
Uptime
24hoursDirect request success rate on AI Gateway and per-provider.
Oct 20, 07:04
Ant Ling0.00%
Throughput
24hoursP50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Oct 19, 18:00
Ant Ling1.68 tps
Latency
24hoursP50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Oct 19, 18:00
Ant Ling2.94s
Activity
Token volume and request traffic to this model over time.
Token Consumption
Oct 19
Ant Ling19.0K
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 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
Token Ranking
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