Claude Token Counter, now with model comparisons
anthropic claude gemini grok
| Source: HN | Original article
Anthropic has upgraded its free Claude Token Counter, adding side‑by‑side comparisons for the three flagship Claude models – Opus, Sonnet and Haiku – and a quick‑look at rival LLMs such as GPT‑5 and Gemini. The web‑based tool now shows how many tokens a given prompt consumes on each model, the corresponding context‑window limits and the estimated API cost at current pricing tiers.
The enhancement matters because token counts are the primary driver of both latency and expense in generative‑AI workflows. Developers who fine‑tune prompts for Claude often have to guess whether a request will fit within a model’s 100‑k‑token window or how much a 2,000‑token response will cost. By displaying the same text’s tokenisation across Opus (the most capable, 200 k token window), Sonnet (mid‑range, 100 k) and Haiku (lightweight, 50 k), the counter lets engineers pick the cheapest model that still meets performance needs. The new cross‑model view also reveals the tokenizer quirks that make a 1,000‑token GPT‑5 prompt translate to roughly 1,200 tokens on Claude, a discrepancy that can surprise budget‑conscious teams.
As we reported on 20 April, Claude’s growing versatility – from writing Z80 assembly code to navigating memory‑hole bugs – is prompting wider adoption in niche domains. Accurate token accounting now removes a practical barrier to that adoption, especially for startups and research groups that monitor API spend line‑by‑line.
Looking ahead, Anthropic is expected to roll out real‑time cost projections and batch‑processing analytics within the same interface. Observers will watch whether the token‑counter API will be opened for integration into IDE plugins and CI pipelines, a move that could standardise cost‑control practices across the Nordic AI developer community. The next update could also broaden comparisons to include emerging models such as Grok and upcoming Claude‑4 releases, sharpening the tool’s role as a universal LLM budgeting dashboard.
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