Research
Deep-dives into LLM economics, token optimization, and agent architecture research from the Tikoly team.
Archive
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2026
2026-10-18
Tikoly v0.1 Beta
Tikoly v0.1 Beta opens the platform to the first cohort of waitlist members with early access to the Token Burn Dashboard, Model Switcher, and tikosim CLI.
2026-07-15
Tikoly Opens Waitlist for Enterprise Customers
Tikoly.com opens its waitlist to enterprise customers. The managed LLM service for robust agentic operation — policy-controlled, auditable, resilient — is already running in an early enterprise deployment.
2026-07-01
Welcome to Tikoly
Tikoly is the LLM provider built for agent makers. This site documents features, research reports, product news, and builder events.
Research
2026-07-01
Token Burn Dashboard
Real-time token usage monitoring across all LLM calls — input, output, cached, and reasoning tokens displayed per-request and cumulative.
2026-07-01
Token 消耗仪表盘
实时监控所有 LLM 调用的 Token 使用情况——输入、输出、缓存和推理 Token,按请求和累计显示。
2026-06-30
The New Tikoly.com is in private alpha
Tikoly.com enters private alpha. Why we invented it — agentic AI workloads broke the traditional LLM API model — and what the service does about it.
2026-04-07
COST / DEEPSEEK V4 ANALYSIS
Per-million-token cost breakdown across all Tikoly-supported models. DeepSeek v4 Flash delivers the lowest cost per token for high-throughput agent tasks.
2026-04-07
成本 / DEEPSEEK V4 分析
Tikoly 支持的所有模型的每百万 Token 成本分析。DeepSeek v4 Flash 为高吞吐智能体任务提供最低的每 Token 成本。
2026-03-16
USAGE+TOKEN BURN PATTERNS
Analysis of real-world token consumption across 10,000 agent sessions reveals that context accumulation is the dominant cost driver for multi-turn agent workflows.