Key Specifications
| Vendor | google |
|---|
| Version | 1.5-flash-002 |
|---|
| Release Date | 2024-09-24 |
|---|
| Context Window | 1e+06 tokens |
|---|
| Input Modalities | text, image, audio, video |
|---|
| Output Modalities | text |
|---|
| License | Proprietary |
|---|
| Documentation | https://ai.google.dev/gemini-api/docs |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 81.1 | % | 2024-09-24 | 5-shot | view |
| HUMANEVAL | 66.2 | pass@1 | 2024-09-24 | — | view |
| GSM8K | 78.8 | % | 2024-09-24 | 0-shot CoT | view |
| MATH | 40.5 | % | 2024-09-24 | 0-shot CoT | view |
| BBH | 79.8 | % | 2024-09-24 | 3-shot CoT | view |
| GPQA | 32 | % | 2024-09-24 | 0-shot | view |
| IFEVAL | 77.2 | % | 2024-09-24 | prompt_strict | view |
| ARC | 91.8 | % | 2024-09-24 | challenge | view |
| MUSR | 59.8 | % | 2024-09-24 | 0-shot | view |
| WINOGRANDE | 81.9 | % | 2024-09-24 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $0.075 / Mtok | USD |
| Output | $0.3 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://ai.google.dev/pricing
· as of 2024-09-24
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✗
- GDPR: ✓
- ISO 27001: ✓
Gemini 1.5 Flash 002
Visão geral do modelo
Google Gemini 1.5 Flash 002 生产版本, 1M 上下文, 改进质量与稳定性。
Especificações principais
| Fornecedor | Versão | Data de lançamento | Janela de contexto | Modalidades de entrada | Modalidades de saída | Licença |
|---|
| Google | 1.5-flash-002 | 2024-09-24 | 1000K | text, image, audio, video | text | Proprietary |
Desempenho em benchmarks
| Benchmark | Pontuação | Unidade | Notas |
|---|
| MMLU (Massive Multitask Language Understanding) | 81.1 | % | 5-shot |
| HumanEval | 66.2 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 78.8 | % | 0-shot CoT |
| MATH | 40.5 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 79.8 | % | 3-shot CoT |
| GPQA | 32.0 | % | 0-shot |
| IFEval | 77.2 | % | prompt_strict |
| ARC | 91.8 | % | challenge |
| MUSR | 59.8 | % | 0-shot |
| WinoGrande | 81.9 | % | 0-shot |
Preços
| Entrada | Saída | Leitura de cache | Escrita de cache |
|---|
| — | — | — | — |
por milhão de tokens
Pontos fortes
- MMLU score 81.1, strong knowledge reasoning.
- 支持文本、图像、音频多模态输入。
- 上下文窗口 1000K，支持长文本。
Pontos fracos
Casos de uso
Referências