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Research

Deep-dives into LLM economics, token optimization, and agent architecture research from the Tikoly team.

2027

2026

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.
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.
Welcome to Tikoly
Tikoly is the LLM provider built for agent makers. This site documents features, research reports, product news, and builder events.
Research
Token Burn Dashboard
Real-time token usage monitoring across all LLM calls — input, output, cached, and reasoning tokens displayed per-request and cumulative.
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。
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.
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.
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。
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.

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