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Gemini 3 Pro & Flash on Elevence AI

Name: Gemini 3 Pro & Flash on Elevence AI
Brand: Google
Availability: InStock

Google's Gemini 3 — strong multimodal reasoning with the largest context window of any frontier model.

Applies to web, iOS and Android

PROVIDER

Google

CONTEXT

1M tokens (Pro), 1M tokens (Flash)

MODALITY

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PRICING

Flash: $0.10 / $0.40 per million · Pro: $1.25 / $5

Gemini 3 is Google's frontier model family, with Pro positioned against GPT-5 and Claude Opus, and Flash positioned as the cost-efficient workhorse. The headline feature is the 1M-token context window — large enough to feed entire codebases, multi-hour video transcripts, or massive document collections in a single request. Gemini 3 is also natively multimodal: image, video and audio inputs are first-class, not bolted-on.

On Elevence AI, Gemini 3 Pro and Flash are available through the OpenAI-compatible API. If your workflow involves very long contexts, native video understanding, or the lowest cost-per-token at a competent quality level, Gemini is the model to try.

What Gemini 3 Pro & Flash is great at

1M-token context window

Gemini 3 Pro and Flash both support 1 million input tokens — the largest context window of any production frontier model. Feed an entire codebase, a long meeting transcript with timestamps, or a months-long Slack export and ask coherent questions across all of it.

Native multimodal: video, audio, image

Gemini understands video frames and audio waveforms directly, not just transcripts. Pass a short video clip and ask 'what happens at 1:24?' — Gemini watches the clip and answers. Particularly strong for video content analysis, meeting summaries from recordings, and visual question answering.

Excellent price-performance on Flash

Gemini 3 Flash at $0.10/$0.40 per million in/out tokens is roughly 12× cheaper than GPT-5 with quality that holds up on most non-frontier tasks. For high-throughput pipelines (extraction, classification, summarisation), Flash is often the right default.

Best for

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Very long context (1M tokens) — codebases, long documents, video transcripts

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Native video and audio understanding

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High-throughput pipelines where cost matters (Flash)

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Multimodal RAG over PDFs with figures and diagrams

Limitations

Reasoning depth still trails GPT-5 / Claude Opus

On the hardest reasoning benchmarks (frontier math, multi-step planning), GPT-5 and Claude Opus 4.7 still edge out Gemini 3 Pro. For the top 5% of difficulty, prefer the other two.

Tool-calling reliability less polished

Function-calling and structured-output reliability on Gemini 3 are improving but historically less consistent than OpenAI / Anthropic. For tool-heavy agents, validate behaviour on a small batch before scaling.

Code example

Drop-in OpenAI-compatible API. Swap the base URL and key, change the model field:

import OpenAI from 'openai'; const client = new OpenAI({ baseURL: 'https://api.elevence.ai/v1', apiKey: process.env.ELEVENCE_API_KEY, }); const response = await client.chat.completions.create({ model: 'gemini-3-pro', messages: [{ role: 'user', content: 'Summarise this codebase: ...' }], });

Frequently asked questions

How does Gemini Flash pricing actually work out for high-volume work?

At $0.10/$0.40 per million in/out tokens, processing a million-token input + a 10K-token output costs roughly $0.10 + $0.004 = ~$0.10 per request. For batch pipelines processing thousands of long documents, Flash is dramatically cheaper than GPT-5 at $1.25/$10.

Can I actually use the full 1M context window?

Yes. Pass up to 1M tokens of input and Gemini will process it. Latency scales with input size — expect 30–90 seconds for a million-token input. Cost is per-token, so a 1M-token call costs roughly $0.10 on Flash, $1.25 on Pro.

Does Gemini on Elevence AI support video inputs?

Yes — pass a video URL (or base64-encoded video frames) and Gemini processes the visual content. Useful for video QA, meeting summaries from recordings, and content moderation.

Which Gemini variant should I default to?

Start with Gemini 3 Flash for most production work — the price-performance is excellent. Upgrade to Gemini 3 Pro for harder reasoning tasks where Flash falls short. Both have the full 1M context.

Are Gemini models on Elevence AI the same as on Google AI Studio?

Yes — Elevence AI calls Google's official Vertex AI / Gemini API. Same model checkpoint, same context window, same capabilities. Billing routes through Elevence's credit system instead of a Google Cloud account.

Related models

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gpt-5

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claude

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llama

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