Google's long-context multimodal model with up to 2M token windows.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Gemini 1.5 Pro is a Google model retained in SyncDev’s public directory. This record now links to an authoritative source so readers can distinguish documented facts from information that changes over time. The editorial summary does not infer a current price, API route, benchmark result, regional availability, or feature guarantee from a historical model name.
Use the linked first-party documentation to confirm the current interface, supported modalities, context and output limits, safety requirements, service availability, and commercial terms. Those details can change independently of this directory. For a production decision, test representative prompts, tool calls, latency targets, multilingual needs, and reliability requirements with the provider’s current release.
A useful comparison starts with the workload, not a generic winner. Compare the model against alternatives using the same prompts, token budgets, evaluation rubric, deployment region, and cost assumptions. Where this page does not show a verified measurement, treat it as unknown rather than filling the gap with an estimate.
SyncDev keeps this page live as an editorial overview and retains the source link for future review. Editors must refresh material claims from first-party documentation before changing the page, publishing a comparison, or adding it to a search sitemap.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
Gemini 1.5 Pro is categorized for Audio-text-to-text, Automatic speech recognition, Image-text-to-text, Image-to-text, Text generation, Text-to-text AI models, Video-text-to-text. Its current record accepts text, image, audio, video and produces text. Confirm file formats, preprocessing, and provider-specific request schemas before implementation.
The directory records 2M context and 8.2K maximum output. Listed token prices are $1.25 input and $5.00 output per 1M tokens. Treat missing values as unknown and recheck current commercial terms.
Recorded output speed is 65 t/s and time to first token is 0.90s. Hosting route, region, prompt length, concurrency, and provider load can materially change both measurements.
This page separates sourced model facts from incomplete fields. Benchmark evidence is displayed only when its source is linked and verified. Before choosing Gemini 1.5 Pro, test task quality, tool reliability, safety behavior, data controls, rate limits, and total cost on the exact route you intend to use.
Each score below comes from a published result we could trace back to its source. Read them as evidence about the specific task a benchmark measures — a model that leads on one can easily trail on another.
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