Gemini 1.5 Flash is a fast and versatile multimodal model for scaling across diverse tasks. It supports audio, images, video, and text input, and produces text output. The model is optimized for generating code, extracting data, editing text, and more, making it ideal for narrow, high-frequency tasks.
发布日期2024年5月1日
参数规模—
上下文长度—
许可证Proprietary
知识截止2023年11月1日
Benchmarks
评测成绩
| 评测基准 | 类别 | 分数 | 来源 |
|---|---|---|---|
| XSTest | safety | 97.0 | 来源 |
| HellaSwag | reasoning | 86.5 | 来源 |
| GSM8k | math reasoning | 86.2 | 来源 |
| BIG-Bench Hard | reasoning math language | 85.5 | 来源 |
| MGSM | math reasoning | 82.6 | 来源 |
| Natural2Code | reasoning general | 79.8 | 来源 |
| MMLU | general reasoning language math | 78.9 | 来源 |
| MATH | math reasoning | 77.9 | 来源 |
| Video-MME | multimodal vision reasoning | 76.1 | 来源 |
| HumanEval | reasoning code | 74.3 | 来源 |
| WMT23 | language | 74.1 | 来源 |
| MRCR | long_context reasoning general | 71.9 | 来源 |
| MMLU-Pro | language reasoning math general | 67.3 | 来源 |
| MathVista | math vision multimodal | 65.8 | 来源 |
| MMMU | multimodal reasoning general | 62.3 | 来源 |
| PhysicsFinals | physics math reasoning | 57.4 | 来源 |
| FunctionalMATH | math reasoning | 53.6 | 来源 |
| GPQA | reasoning general | 51.0 | 来源 |
| Vibe-Eval | multimodal vision general | 48.9 | 来源 |
| HiddenMath | math reasoning | 47.2 | 来源 |
| AMC_2022_23 | math reasoning | 34.8 | 来源 |
| FLEURS | language speech-to-text | 9.6 | 来源 |
Pricing
API 价格对比
暂无 API 价格。