Gemini 1.5 Pro
Enterprise workhorse foundation model with 2M context window, high-fidelity recall, and audio/video understanding.
2,000k
Tokens
8.192k
Output limit
Multimodal MoE
Model family
Not Disclosed
Total / Active
$1.25
Per 1M tokens
$5.00
Per 1M tokens
Model Overview
Gemini 1.5 Pro features a 2,000,000 token context window with near-perfect needle-in-a-haystack retrieval (>99.7%). Widely deployed across enterprise document search, audio transcription, and multimodal understanding.
Developer Implementation Notes
Supports context caching for massive cost reductions when querying static 2M token context repositories.
Key Strengths
- 2M token context window with proven 99%+ retrieval accuracy
- Audio and video native parsing without separate transcription pipeline
- Context caching discount up to 75%
Limitations & Boundaries
- Pricing increases on prompts longer than 128k tokens ($1.25 -> $2.50 / MTok)
- Moderate inference latency on ultra-long contexts
Capabilities & Modalities
Best Production Use Cases
- Long-form legal case discovery and contract synthesis
- Multi-hour meeting recording extraction and minutes generation
- Enterprise repository indexing
Verified Benchmark Results
Standardized evaluations with methodology notes and authoritative citation links.
Pricing & Inference Cost Calculator
Token Cost Estimator – Gemini 1.5 Pro
Calculate projected inference spend with prompt caching
Quick Workload Presets
$2.5000
2.00M input tokens
$2.5000
0.50M output tokens
$5.00
Avg: $0.00500 / req
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Data Accuracy & Verification Notice
AI model specifications, pricing records, and benchmark metrics published on this platform are compiled directly from authoritative sources (official provider documentation, research papers, and verified evaluation harnesses). Benchmark results reflect specific test harnesses and prompting methodologies; scores are not directly comparable across differing evaluation setups.