Daily token totals for top 50 models
Returns the top 50 public models per day by total token usage on OpenRouter, plus a
single aggregated other row per day that sums every model outside that top 50.
Token totals are prompt_tokens + completion_tokens, matching the public rankings
chart on openrouter.ai/rankings.
Each row is a distinct (date, model_permaslug) pair. The other row uses the
reserved permaslug other and is always returned last within its date, so callers
can compute top-50 traffic / total daily traffic without a second request.
Optional filters slice the dataset. period (day/week/month) sets the time
grain. modality and context_bucket narrow the exact dataset by output/input
modality (or tool-calling activity) and request context length. category and
language_type instead read a sampled, upsampled dataset whose total_tokens are
weekly-grain estimates — they cannot be combined with each other or with the exact
filters, and reject period=day with a 400.
Authenticate with any valid OpenRouter API key (same key used for inference). Rate-limited to 30 requests/minute per key and 500 requests/day per account.
When republishing or quoting this dataset, OpenRouter must be cited as: “Source: OpenRouter (openrouter.ai/rankings), as of .”
Token counts come from each upstream provider’s own tokenizer (Anthropic counts are as reported by Anthropic, OpenAI counts are as reported by OpenAI, etc.), so a token in one row is not directly comparable to a token in another row from a different provider.
Authorizations
API key as bearer token in Authorization header
Query Parameters
Start of the date window in YYYY-MM-DD (UTC), inclusive. Defaults to 30 days before end_date. The dataset begins at 2025-01-01; earlier values are clamped forward to that floor and the resolved value is echoed in meta.start_date.
^\d{4}-\d{2}-\d{2}$"2026-04-12"
End of the date window in YYYY-MM-DD (UTC), inclusive. Defaults to the most recent completed UTC day. Must be on or after 2025-01-01; earlier values are rejected with a 400.
^\d{4}-\d{2}-\d{2}$"2026-05-11"
Time grain of each row. day (default) returns the per-UTC-day series; week buckets by ISO week start; month buckets by month start. With category or language_type only week (default) and month are available — day is rejected with a 400 because those datasets are aggregated weekly. For those sampled datasets period=month buckets each week by its week-start month, so totals are approximate at month boundaries.
day, week, month "day"
Restrict to models for a modality surface: text / image_output match output modality, image / audio match input modality, and tool_calling keeps only rows that recorded at least one tool call. Exact dataset — cannot be combined with category or language_type.
text, image, image_output, audio, tool_calling "text"
Restrict to requests whose context length falls in this bucket (1K, 10K, 100K, 1M, or 10M). Exact dataset — cannot be combined with category or language_type.
1K, 10K, 100K, 1M, 10M "100K"
Restrict to a use-case category (e.g. programming, roleplay). Sourced from a sampled, upsampled dataset, so total_tokens is an estimate and is aggregated weekly (the trailing weekly bucket may include traffic past end_date). Cannot be combined with modality, context_bucket, or language_type.
programming, roleplay, marketing, marketing/seo, technology, science, translation, legal, finance, health, trivia, academia "programming"
Restrict to natural-language or programming-language tagged activity. Sourced from a sampled, upsampled dataset, so total_tokens is an estimate and is aggregated weekly (the trailing weekly bucket may include traffic past end_date). Cannot be combined with modality, context_bucket, or category.
natural, programming "natural"
Response
Up to 51 rows per day — the top 50 public models by total_tokens plus a single aggregated other row covering every model outside that top 50. Sorted by date ascending, then by total_tokens descending, with other pinned last within its date.
Up to 51 rows per day — the top 50 public models by total_tokens for each UTC calendar date in the window, plus one aggregated other row summing every model outside that top 50 (omitted when the long tail is empty). Rows are sorted by date ascending, then by total_tokens descending, with other pinned last within its date. Ties between real models break alphabetically on model_permaslug so the order is stable across requests.
{
"as_of": "2026-05-12T02:00:00Z",
"end_date": "2026-05-11",
"start_date": "2026-04-12",
"version": "v1"
}