Google model product
Gemini 1.5 Pro is a mid-size multimodal model optimized for a wide range of reasoning tasks. It can process large amounts of data at once, including 2 hours of video, 19 hours of audio, codebases with 60,000 lines of code, or 2,000 pages of text.
Updated Aug 10, 2026. Default version: Gemini 1.5 Pro
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Gemini 1.5 Pro.
| FunctionalMATH | 0.6 | 1 | 2 | 100.0% | C | |
| PhysicsFinals | 0.6 | 1 | 2 | 100.0% | C | |
| WMT23 | 0.8 | 1 | 4 | 100.0% | C | |
| XSTest | 1.0 | 1 | 3 | 100.0% | C | |
| MRCR | 0.8 | 2 | 7 | 83.3% | C | |
| Natural2Code | 0.9 | 2 | 8 | 85.7% | C | |
| BIG-Bench Hard | 0.9 | 3 | 21 | 90.0% | C | |
| FLEURS | 0.9 | 3 | 6 | 60.0% | C | |
| HellaSwag | 0.9 | 3 | 27 | 92.3% | C | |
| AMC_2022_23 | 0.5 | 5 | 6 | 20.0% | C | |
| HiddenMath | 0.5 | 5 | 13 | 66.7% | C | |
| Vibe-Eval | 0.5 | 5 | 8 | 42.9% | C | |
| Video-MME | 0.8 | 9 | 17 | 50.0% | C | |
| MATH | 0.9 | 10 | 71 | 87.1% | C | |
| MGSM | 0.9 | 12 | 31 | 63.3% | C | |
| MathVista | 0.7 | 17 | 39 | 57.9% | C | |
| DROP | 0.7 | 20 | 30 | 34.5% | C | |
| GSM8k | 0.9 | 26 | 48 | 46.8% | C | |
| MMLU | 0.9 | 35 | 100 | 65.7% | C | |
| MMMU | 0.7 | 38 | 63 | 40.3% | C | |
| HumanEval | 0.8 | 43 | 76 | 44.0% | C | |
| MMLU-Pro | 0.8 | 70 | 129 | 46.1% | C | |
| GPQA | 0.6 | 161 | 233 | 31.0% | C |
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
The default version has no provider offering with current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Gemini 1.5 Pro | 48.6 | N/A | 2.1M | 8.2K | No | Proprietary |
A concise description based on the published model registry.
Gemini 1.5 Pro is a mid-size multimodal model optimized for a wide range of reasoning tasks. It can process large amounts of data at once, including 2 hours of video, 19 hours of audio, codebases with 60,000 lines of code, or 2,000 pages of text.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Gemini 1.5 Pro.
Gemini 1.5 Pro's default version was released on May 1, 2024.
No official standard PAYG price is currently available for Gemini 1.5 Pro.
Gemini 1.5 Pro is published under Google in the model registry.
The default version has a 2.1M token context window.
No. The default version is not marked as having publicly available weights.
No published provider offering is currently linked to the default version.
Nearby ranked alternatives include Nova Lite, Mistral Small 4, Qwen3 235B A22B.