Gemini 2.5 Pro TTS
Gemini 2.5 Pro TTS by Google AI: $1 input and $20 output per 1M tokens, 8K context. Call it through the odnoga LLM gateway.
Gemini 2.5 Pro TTS is served by Google AI and called through odnoga with the same OpenAI-compatible request shape as every other model in the catalog. Its 8K-token context window sets how much input you can send in one request.
Specification and price
| Vendor | Google AI |
|---|---|
| Model ID | gemini-2.5-pro-preview-tts |
| Context window | 8K tokens |
| Max output | 16K tokens |
| Capabilities | — |
| Per 1M tokens | Vendor cost | Your price on Free+7% |
|---|---|---|
| Input | $1 | $1.08 |
| Output | $20 | $21.51 |
| Cached input | — | — |
Vendor cost is the list price per million tokens as recorded in the odnoga catalog; your price applies your plan margin with the same formula that bills every request — see pricing. Pricing
Call it through odnoga
const res = await fetch("https://api.odnoga.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.ODNOGA_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "gemini-2.5-pro-preview-tts",
messages: [{ role: "user", content: "Hello" }],
}),
});
Same request shape for every vendor in the catalog — swap the model id and odnoga handles keys, routing, limits and cost accounting.
How to use Gemini 2.5 Pro TTS
Derived from the odnoga catalog record for this model.
Best for
- High-volume, latency-sensitive calls: classification, extraction, routing, short rewrites and summaries.
Not the right pick when
- Anything that needs to read an image — this model takes text only.
- Agent loops that must call your functions — tool calling is not available here.
- Pipelines that require guaranteed JSON — parse defensively or pick a model with enforced JSON.
- Large documents in one request — the window is 8K tokens, so you will need chunking.
- Anything where a wrong answer is costly without a human check — no model in the catalog removes that requirement.
Practical tips through odnoga
- 01Pin the model id in a managed prompt version, so a model swap is a version change you can compare and roll back, not an edit in application code.
- 02Compare it against 2–8 other models on the same frozen test cases in the evaluation laboratory before you make it the production default.
- 03For repeated identical deterministic calls, odnoga answer reuse returns the stored answer and bills no vendor tokens — turn it off for creative output.
- 04Set a fallback model on the route so a vendor incident degrades quality instead of returning an error, and a per-tenant budget so one caller cannot spend the month.
What a month costs
1,000 calls a month, 10,000 input tokens and 2,000 output tokens each, at your Free price (vendor cost +7%):
| Input (10M tokens) | $10.75 |
|---|---|
| Output (2M tokens) | $43.01 |
| Your cost per month on Free | $53.76 |
Vendor list cost $50.00 + odnoga margin $3.76 (+7%). Cached input or answer reuse lowers it; odnoga records both numbers per request.
Gemini 2.5 Pro TTS compared
| Model | Context | Input / 1M | Output / 1M | Capabilities |
|---|---|---|---|---|
| Gemini 2.5 Pro TTS | 8K | $1 | $20 | — |
| Gemini 2.5 Computer Use | 131K | $1 | $5 | Vision, Tools, JSON mode, Streaming |
| Gemini 2.5 Flash Image (Nano Banana) | 33K | $0.3 | $2.50 | Vision |
Questions
- How much does Gemini 2.5 Pro TTS cost per 1M tokens?
- Google AI lists $1 / $20 per 1M input / output tokens in the odnoga catalog. Through odnoga you pay that vendor price plus your plan margin, and every request is recorded with both numbers.
- What is Gemini 2.5 Pro TTS best for?
- High-volume, latency-sensitive calls: classification, extraction, routing, short rewrites and summaries.
- Can I switch to Gemini 2.5 Pro TTS without changing my code?
- Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "gemini-2.5-pro-preview-tts" as the model id — or changing it in the managed prompt version, with no application deploy.
- How large is the Gemini 2.5 Pro TTS context window?
- 8K tokens of input, with up to 16K tokens of output per response.
All models · Pricing · Docs · Compare models in the evaluation lab
Where this model sits
Other Google AI models
Gemini 2.5 Computer Use
$1 / $5 per 1M
Gemini 2.5 Flash Image (Nano Banana)
$0.3 / $2.50 per 1M
Gemini 2.5 Flash Native Audio (Live)
$0.5 / $2 per 1M
Gemini 2.5 Flash TTS
$0.5 / $10 per 1M
Gemini 2.5 Pro
$1.25 / $10 per 1M
Gemini 3 Flash Preview
$0.5 / $3 per 1M
Gemini 3 Pro Image (Nano Banana Pro)
$2 / $12 per 1M
Gemini 3.1 Flash Image (Nano Banana 2)
$0.5 / $3 per 1M