Gemini 1.5 Pro
Google DeepMind Gemini 1.5 Pro targets long-context multimodal workloads—large effective context for retrieval-heavy document pipelines, plus image, audio, and video inputs on supported surfaces.
Newer version: Gemini 2.5 Pro
Provider
Model family
Google Gemini
Multimodal LLM
Cost tier
Pro
Status
Legacy
Release Feb 15, 2024
Why teams choose it
Long-context and Gemini surfaces
Helps when you consolidate analysis in Google-hosted AI paths and rely on large-context ingestion or multimodal prompts.
Long-context analysis
Helps teams summarize, compare, and extract insights from long documents without losing important nuance.
Document-heavy workflows
Useful where teams ingest PDFs, slides, audio, or long threads and need repeatable extraction—not one-off prompting.
Cost-efficient routing
Useful as part of a routing stack where cheap models handle drafts and confirmations and this tier handles genuinely hard passages.
Tradeoffs to know
- Quota and preview access can gate certain features—check console limits.
- Cross-cloud egress costs matter if data leaves GCP.
When not to use this
- Not ideal for simple tasks where cheaper models in the same lineup are good enough.
- Avoid for latency-sensitive real-time chat when raw response speed outweighs reasoning depth.
- Confirm limits, pricing, and regional availability on the provider side before committing production workloads.
Technical specs
- Inputs
- text, image, audio, video
- Outputs
- text
- Capabilities
- long context, retrieval, multilingual, multimodal
- License
- Proprietary API
- Model string
gemini-1-5-pro
Benchmarks
{
"mmmu": 73.4,
"needle_in_haystack": "strong"
}Google Gemini family lineup
Current models
Previous versions