Macaron-V1-Tall is the efficient model of the Macaron-V1 family, built on Qwen3.6-35B-A3B with four specialist LoRA adapters for Chat, Agent, Coding, and GenUI. It follows the same routed Mixture of LoRA (MoL) design as Macaron-V1-Venti, bringing Macaron’s personal-intelligence, coding, tool-use, and code-native Generative UI capabilities to a smaller and more accessible deployment profile.
Providers
Route requests across multiple providers. Copy a provider slug to set your preference.
Uptime
24hoursDirect request success rate on AI Gateway and per-provider.
Throughput
24hoursP50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency
24hoursP50 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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