Google AI (Gemini API / Vertex AI) review

Updated September 28, 2026 · DeployCue Editorial Team · Facts checked September 26, 2026

We earn a commission when you sign up through links on this site. Partner status can affect where a brand appears in our rankings. Partners with a live offer in your country come first, then every other brand by score.

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

Apps and profiles

Elsewhere
XLinkedIn

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
Google AI (Gemini API / Vertex AI)

Ready to try Google AI (Gemini API / Vertex AI)?

Scored 8.8 / 10 by DeployCue.

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

Where Google AI (Gemini API / Vertex AI) is available

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)

Google AI (Gemini API / Vertex AI)

Teams standardising on a single vendor for Pro, Flash and multimodal work.

8.8/10See alternatives