Models

gemini-2.5-pro-preview-tts

vertex_ai-language-models ↗ · 1049K ctx · 1 providers · updated 2026-09-12 05:16 UTC

Cheapest
$5.75 Official list · Vertex AI (Language)
Avg price
$5.75 /1M
providers
1
(3 × $1.00 + $20.00) ÷ 4 = $5.75/1M — the $/1M figure blends input and output at 3:1 — that is the only way models with two different rates can be ranked on one axis. Your actual rate depends on your own input:output mix — input only $1.00, 3:1 $5.75, 1:1 $10.50, output only $20.00 per 1M.

The board shows this model's cheapest measured offer ($5.75/1M); the smaller figure under it is the mean of the 2 offers listed below ($5.75/1M). Add those up and divide — it matches.

ProviderRouter / Source$ in /1M$ out /1MTTFTTPSUptimeEvidence
vertex_ai-language-models Pricebook (LiteLLM) $1.00$20.00 Official list
gemini Pricebook (LiteLLM) $1.00$20.00 Official list

Price trend

Cheapest blended price, last 31 days (USD/1M): $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75 → $5.75

Data & method

Cheapest ranked by blended = (3×in + out) ÷ 4; performance columns show only when a source provides them, never estimated. “Official list” = LiteLLM open pricebook (MIT); “API-measured” = provider/aggregator public APIs. Machine-readable data: /api/v1/models/gemini-2.5-pro-preview-tts.json. Free reuse requires attribution to tkx.org.

FAQ

How much does gemini-2.5-pro-preview-tts cost?

Cheapest measured offer right now: $1/1M input, $20/1M output via vertex_ai-language-models — across 1 tracked providers, refreshed hourly.

Who serves gemini-2.5-pro-preview-tts?

1 providers currently serve it. The table above lists each with input/output price, TTFT, TPS, uptime and an evidence tier.

Is the price of gemini-2.5-pro-preview-tts going up or down?

The daily candles above track the cheapest blended price ($/1M, 3:1 in:out). TKX snapshots every hour, so drops and hikes show up the same day they happen.

Related analysis

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