Agnes-2.0-Flash is a fast and efficient language model developed by Sapiens AI. It is designed for agentic workflows, tool use, coding tasks, reasoning, multi-turn conversations, and high-frequency production applications. Agnes-2.0-Flash has achieved strong performance on the Claw-Eval benchmark, ranking #9 on the General Leaderboard with a Pass^3 score of 60.9%, demonstrating strong autonomous-agent capability among leading language models.
Providers
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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.
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
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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