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Financial Document Token Estimator

Financial document token estimator: price 10-K, 10-Q, 8-K and earnings call runs across 8 frontier LLMs. Context-fit + one-pass + peer synthesis cost.

Inputs
Form inputs / CSV
Runtime
Instant
Privacy
Client-side · no upload
API key
Not required
Methodology
Open →

1 · Configure the document

Business + MD&A + risk factors body, excluding exhibits.

50%

Cheapest (one-pass)

$0.0071

Gemini 2.5 Flash

Most expensive (one-pass)

$0.282

Claude Opus 4.7

Cost multiple

39.6×

priciest ÷ cheapest

2 · Cost per model

ModelInput tokensOutput tokensCache-readOne-pass costSynthesis costContextFits
Gemini 2.5 Flashgoogle18.0K1.5K9.0K$0.00711M
Claude Haiku 4.5anthropic20.6K1.5K10.3K$0.019200K
Gemini 2.5 Progoogle18.0K1.5K9.0K$0.0292M
GPT-5 miniopenai18.0K1.5K9.0K$0.039256K
Claude Sonnet 4.6anthropic20.6K1.5K10.3K$0.056500K
GPT-5openai18.0K1.5K9.0K$0.195400K
Claude Opus 4.6anthropic20.6K1.5K10.3K$0.282500K
Claude Opus 4.7anthropic20.6K1.5K10.3K$0.2821M

Sorted cheapest first on one-pass cost. Input-token count differs slightly per provider because each tokenizer has a different char-per-token ratio.

Approximation notes

Tokenization varies per model. Estimates use published char-per-token ratios from vendor docs (Anthropic ~3.5, OpenAI ~4.0, Gemini ~4.0). For precise counts, use tiktoken (OpenAI) or Anthropic’s count_tokens endpoint. Pricing last verified 2026-04-23.

See methodology for the full rate table, formulas, and archetype assumptions.

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Planning estimates only — not financial, tax, or investment advice.