Provider Sources and Price Keys

Official Pricing Sources

Always fetch pricing from the provider's official docs before editing.

Known source quirks (as of 2026-06)

• OpenAI — openai.com/api/pricing/ often returns HTTP 403 to automated fetchers. Use https://developers.openai.com/api/docs/pricing instead as that is often permitted. Use https://developers.openai.com/api/docs/models/all to discover model-by-model info and pricing. If this page fails, leave OpenAI prices unchanged and report the 403 as an unresolved finding.
• OpenAI matchPattern prefix — All OpenAI model entries must include (openai\/)? as an optional prefix in their matchPattern (e.g., (?i)^(openai\/)?(gpt-4o)$). Entries missing this prefix will not match model IDs sent with the openai/ prefix. The o4-mini and o4-mini-2025-04-16 entries were found missing this prefix in June 2026 and corrected. Verify any new OpenAI entries include it.
• Google Gemini — The AI Studio page (ai.google.dev/pricing) and the Vertex AI page (cloud.google.com/vertex-ai/generative-ai/pricing) can show different prices for the same model (e.g. Gemini 2.0 Flash: AI Studio $0.10/MTok vs Vertex $0.15/MTok as of June 2026). When they differ, prefer the AI Studio page for AI Studio–specific models and Vertex for Vertex-specific ones; leave the file unchanged and report the discrepancy when uncertain which applies.
• Gemini 1.5 models — gemini-1.5-pro, gemini-1.5-flash, and gemini-1.5-flash-8b are no longer listed on either official Gemini pricing page as of June 2026. They appear to be retired/deprecated. Do not add or modify their pricing without a concrete official source.
• Gemini experimental / preview model IDs — Models such as gemini-2.0-flash-exp, gemini-2.0-pro-exp-02-05, gemini-2.0-flash-thinking-exp-01-21, gemini-2.5-flash-preview-09-2025, and gemini-2.5-flash-lite-preview-09-2025 are in the selectable model lists but have no standalone pricing entry on official pages. Do not add pricing for them without explicit official evidence.
• Gemini 2.0 Flash — gemini-2.0-flash and gemini-2.0-flash-001 are in the selectable model lists and have pricing entries in the file, but as of June 2026 these models are no longer listed on the official AI Studio pricing page. Treat the existing prices as the last known values; do not update without a concrete official source.
• Gemini 3 Pro Preview — gemini-3-pro-preview is in the selectable model lists and the pricing file but is NOT listed on the official AI Studio pricing page as of June 2026. Its prices ($2.00/≤200k, $4.00/>200k input; $12.00/$18.00 output) were set when the model was first added; do not update without explicit official evidence.
• Gemini cache-read ratio — Google Gemini models consistently price cached input at 10% of the base input price (e.g. Gemini 2.5 Flash: $0.30/MTok input → $0.03/MTok cached). If a cache-read price in the file diverges from this ratio, treat it as suspicious and verify against the official page before correcting.

Capture:

1. Base input token price per million tokens
2. Output token price per million tokens
3. Cache write price when supported
4. Cache read price when supported
5. Any long-context or conditional pricing
6. All model ID variants that Langfuse should match

Price Conversion

Values in default-model-prices.json are per token, not per million tokens.

Formula:

price_per_token = price_per_mtok / 1_000_000

Common Price Keys by Provider

Anthropic Claude

{
  "input": "<base_input_price>",
  "input_tokens": "<base_input_price>",
  "output": "<output_price>",
  "output_tokens": "<output_price>",
  "cache_creation_input_tokens": "<cache_write_price>",
  "input_cache_creation": "<cache_write_price>",
  "cache_read_input_tokens": "<cache_read_price>",
  "input_cache_read": "<cache_read_price>"
}

OpenAI

{
  "input": "<input_price>",
  "input_cached_tokens": "<cached_input_price>",
  "input_cache_read": "<cached_input_price>",
  "output": "<output_price>"
}

Google Gemini

{
  "input": "<input_price>",
  "input_modality_1": "<input_price>",
  "prompt_token_count": "<input_price>",
  "promptTokenCount": "<input_price>",
  "input_cached_tokens": "<cached_price>",
  "cached_content_token_count": "<cached_price>",
  "output": "<output_price>",
  "output_modality_1": "<output_price>",
  "candidates_token_count": "<output_price>",
  "candidatesTokenCount": "<output_price>"
}