Google AI (Gemini API / Vertex AI) review
Updated September 28, 2026 · DeployCue Editorial Team · Facts checked September 26, 2026
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Our verdict
Google AI (Gemini API / Vertex AI) suits teams that want a single vendor for Pro reasoning, Flash throughput and long-context work without juggling vendors. New accounts get $300 in free credits and 20+ free products, which softens the first build.
Key facts
- Best for
- Teams standardising on a single vendor for Pro, Flash and multimodal work.
- Input price from
- $0.25 to $4↗
- Output price from
- $1.50 to $18↗
- Models offered
- Gemini 3.1 Pro, Gemini 3 Pro Image, Gemini 2.5 Pro, Gemini 3.8 Flash, Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash, Gemini 3.1 Flash Image, Gemini 3 Flash, Gemini 2.5 Flash, Gemini 2.5 Flash Image, Gemini 2.5 Flash Live API, Gemini 3.5 Flash-Lite, Gemini 3.1 Flash-Lite Image, Gemini 3.1 Flash-Lite, Gemini 2.5 Flash-Lite, Gemini 3.8 Flash Cyber, Gemini Omni 1.1 Flash, Gemini 3.8 Live, Gemini 3.5 Transcribe, Gemini 3.5 Live Translate, Gemini Embedding 2, Gemma 3, Veo 3.1, Lyria 3↗
- Largest context window
- 1,048,576↗
- Free credits
- $300 in free credits and 20+ free products↗
- OpenAI-compatible API
- Yes↗
- Support channels
- Help-centre, Community↗
- Official website
- ai.google.dev
Facts checked September 26, 2026, 4 sources
Pricing
Google AI (Gemini API / Vertex AI) Claude Haiku 4.5 (USD)
input-tokens: $1.00 / million
Google AI (Gemini API / Vertex AI) Claude Haiku 4.5 (USD)
output-tokens: $5.00 / million
Google AI (Gemini API / Vertex AI) Claude Haiku 4.5 (USD)
cached-input-tokens: $0.10 / million
Google AI (Gemini API / Vertex AI) Gemma 2 27B (USD)
input-tokens: $0.65 / million
Google AI (Gemini API / Vertex AI) Gemma 2 27B (USD)
output-tokens: $0.65 / million
Google AI (Gemini API / Vertex AI) Gemini 2.5 Pro (USD)
input-tokens: $1.25 / million
Google AI (Gemini API / Vertex AI) Gemini 2.5 Pro (USD)
output-tokens: $10.00 / million
Google AI (Gemini API / Vertex AI) Gemini 2.5 Pro (USD)
cached-input-tokens: $0.13 / million
Google AI (Gemini API / Vertex AI) Gemini 2.5 Flash (USD)
input-tokens: $0.15 / million
Google AI (Gemini API / Vertex AI) Gemini 2.5 Flash (USD)
output-tokens: $0.60 / million
Google AI (Gemini API / Vertex AI) Gemini 2.5 Flash (USD)
cached-input-tokens: $0.03 / million
Google AI (Gemini API / Vertex AI) Claude Sonnet 4.6 (USD)
input-tokens: $3.00 / million
Google AI (Gemini API / Vertex AI) Claude Sonnet 4.6 (USD)
output-tokens: $15.00 / million
Google AI (Gemini API / Vertex AI) Claude Sonnet 4.6 (USD)
cached-input-tokens: $0.30 / million
Google AI (Gemini API / Vertex AI) Claude Opus 4.8 (USD)
input-tokens: $5.00 / million
Google AI (Gemini API / Vertex AI) Claude Opus 4.8 (USD)
output-tokens: $25.00 / million
Google AI (Gemini API / Vertex AI) Claude Opus 4.8 (USD)
cached-input-tokens: $0.50 / million
Pros and cons
Pros
- Gemini 3.1 Pro, Gemini 3 Pro Image and Gemini 2.5 Pro covers Pro, Flash, Flash-Lite, Live, Embedding, image, video and audio in a single catalogue
- Largest context window of 1,048,576, ranked 11 of 72 on this measure
- The OpenAI-compatible API is yes, so existing client code can be repointed at it
Cons
- Input fees of $0.25 to $4 are above the €0.07 site median, so token-heavy work costs more than routing services
- Output fees of $1.50 to $18 exceed the €0.23 site median
- Support runs on help centre and community only, with no listed phone or email channel
Who it suits
- Teams that want a single catalogue instead of a router
- Builders doing long-context work where 1,048,576 matters
- Developers already using an OpenAI-compatible client, since the OpenAI-compatible API is yes
Who should look elsewhere
- Shoppers who want the cheapest entry price, since Salad quotes $0.06 on input
- Teams that need OpenAI models, where Azure AI Foundry carries gpt 6 astra, gpt 6 luna and gpt 6 sol
- Buyers who want a single provider across many model families, since Supascale AI lists DeepSeek V4 Pro, GPT 5.6 Sol and GPT 5.6 Terra
How Google AI (Gemini API / Vertex AI) compares
Google AI (Gemini API / Vertex AI) vs BytePlus8.8 vs 8.7Google AI (Gemini API / Vertex AI) vs Zhipu AI (Z.ai)8.8 vs 9.4
Google AI (Gemini API / Vertex AI) vs ScalaHosting8.8 vs 8.3Google AI (Gemini API / Vertex AI) vs Cloudways8.8 vs 9.2
Google AI (Gemini API / Vertex AI) vs PlanetHoster8.8 vs 8.7
Google AI (Gemini API / Vertex AI) vs Acronis8.8 vs 9.9
Google AI (Gemini API / Vertex AI) vs Decodo8.8 vs 9.1Google AI (Gemini API / Vertex AI) vs Hostinger8.8 vs 9.1
- Google AI (Gemini API / Vertex AI) vs MarsProxies8.8 vs 9.0
Google AI (Gemini API / Vertex AI) vs Proton Drive8.8 vs 8.3
Where Google AI (Gemini API / Vertex AI) is available
- Available
- Canada, United States
Countries from its affiliate programme (Source)
Frequently asked questions
What does it cost to start using the Gemini API?+
Input fees of $0.25 to $4 and output fees of $1.50 to $18 cover the range across the catalogue. New accounts also get $300 in free credits and 20+ free products, which covers a proof of concept before any spend.
Which models can I call?+
The catalogue is Gemini 3.1 Pro, Gemini 3 Pro Image and Gemini 2.5 Pro. It runs from Pro tiers down to Flash and Flash-Lite, plus Live, Transcribe, Translate, Embedding, image, video and audio entries.
How large a context window do I get?+
The largest context window is 1,048,576, ranked 11 of 72 among measured brands. That suits long documents and large codebases sent in a single request, rather than chunking text across calls.
Can I use OpenAI-compatible code?+
The OpenAI-compatible API is yes, so a client written against that shape can be pointed at the Gemini endpoint. Your existing integration work carries over.
How do the prices compare with other providers?+
Input fees of $0.25 to $4 sit above the €0.07 site median, and output fees of $1.50 to $18 sit above the €0.23. Routing services can come in cheaper, as Salad shows at $0.06 on input.
Which support can I reach?+
Support runs on help centre and community, so questions go to the help centre or to community channels rather than to a named account contact. Plan escalation paths if your team relies on direct help.
Should I pick this or a multi-provider router?+
Pick it for a single vendor's catalogue, Gemini 3.1 Pro, Gemini 3 Pro Image and Gemini 2.5 Pro, plus the OpenAI-compatible API. Pick Supascale AI for breadth, since it lists DeepSeek V4 Pro, GPT 5.6 Sol and GPT 5.6 Terra.
Do I need OpenAI models instead?+
If you need OpenAI models instead, Azure AI Foundry carries gpt 6 astra, gpt 6 luna and gpt 6 sol, a different line this brand does not offer. Compare the two catalogues before switching.
Sources
- cloud.google.com/vertex-ai/generative-ai/docs/learn/models checked September 26, 2026
Backs: Models offered, OpenAI-compatible API
“All Google models: 3.1 Pro, 3 Pro Image, 2.5 Pro, 3.8 Flash, 3.7 Flash, 3.6 Flash, 3.5 Flash, 3.1 Flash Image, 3 Flash, 2.5 Flash, 2.5 Flash Image, 2.5 Flash Live API, 3.5 Flash-Lite, 3.1 Flash-Lite...”
- cloud.google.com/vertex-ai/generative-ai/docs/models/gemi... checked September 26, 2026
Backs: Largest context window
“Token limits Context window 1,048,576 Maximum output tokens 65,536”
- cloud.google.com/vertex-ai/generative-ai/pricing checked September 26, 2026
Backs: Free credits, Input price from, Output price from
“Google Cloud Free Program $300 in free credits and 20+ free products.”
- google.dev checked September 26, 2026
Backs: Support channels
“join our Discord for updates and collaboration, and attend Google Developer meet-ups”
Compiled from 4 source pages, checked September 26, 2026. We did not open an account.
Google AI (Gemini API / Vertex AI)
Teams standardising on a single vendor for Pro, Flash and multimodal work.