LLM Price History Tracker, API $/token over time

Every price on this page is a published, dated list figure taken from the provider's own pricing page or its launch/price-change announcement, never an estimate. Prices are stored in USD per 1,000,000 tokens exactly as published (where a provider quotes $/1K, it is normalised by ×1000, with no rounding of the source figure). The dataset is a curated reference: one representative row per model family per price change, text generation only. Batch, cached-input, fine-tuning and region-specific SKUs are excluded, and that limit is stated so coverage isn't overstated.

The cost time-machine is deterministic arithmetic. For a price point, the monthly cost of your workload is:

cost = inputTokensₘ × inputPer1M + outputTokensₘ × outputPer1M

Your token volumes are entered in millions and prices are per million, so the multiply is direct. This is cross-checked internally against the per-token identity, raw tokens × ($/1M ÷ 1,000,000), which must return the same figure to the cent, so the engine is self-verifying.

To build the four dated snapshots, the tool picks, for your chosen tier, the representative model whose effective date is the latest on or before each boundary (end of 2023, 2024, 2025, and today), then costs your workload at each. Savings against a baseline year b are (cost_b − cost_today) ÷ cost_b, measured from the earliest priced snapshot; if both token inputs are zero every cost is zero and savings show as “—”.

The Δ vs previous column compares each row to the most recent earlier price in the same model family: Δ = (new − old) ÷ old, computed separately for input and output. A negative Δ (green) is a price cut; a positive Δ (red) is a rise. The blended metric weights input and output at 3:1, a typical chat/RAG ratio, and is used only for the chart and table display, never for your actual time-machine cost. The optional LKR display multiplies USD by a fixed, cited snapshot of Rs 305/USD; it is not a live rate. Because list prices change by provider announcement at any time, the whole page is stamped with a LAST_VERIFIED date of 2026-07-17 and every row links to its source.

Each price row links to its own source. The primary pricing pages and dated announcement archives used to pin figures are:

• OpenAI: API pricing
• Anthropic: API pricing
• Google: Gemini API pricing
• xAI: Grok models & pricing
• Together AI: hosted open-weights pricing (Llama, etc.)
• DeepSeek: official API pricing
• Central Bank of Sri Lanka: indicative exchange rates (for LKR display)

Prices were last cross-checked against these sources on 2026-07-17. As of that date the fastest-falling family tracked here is Google Gemini Flash, down 64.29% on combined input+output since its first listed price. API prices change by provider announcement at any time, always confirm against the linked source before committing to a budget.