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/ returns HTTP 403 to automated fetchers. No accessible alternative has been confirmed. If this page fails, leave OpenAI prices unchanged and report the 403 as an unresolved finding.
• 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 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>"
}