Key Specifications

Vendoralibaba
Version2-72b
Release Date2024-06-07
Context Window131072 tokens
Input Modalitiestext
Output Modalitiestext
LicenseQwen License
Documentationhttps://qwenlm.github.io/

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 80.2 % 2024-06-07 5-shot view
HUMANEVAL 76.5 pass@1 2024-06-07 view
GSM8K 87 % 2024-06-07 0-shot CoT view
MATH 71.9 % 2024-06-07 0-shot CoT view
BBH 83.4 % 2024-06-07 3-shot CoT view
GPQA 53.6 % 2024-06-07 0-shot view
IFEVAL 76.9 % 2024-06-07 prompt_strict view
ARC 94.4 % 2024-06-07 challenge view
MUSR 68.9 % 2024-06-07 0-shot view
WINOGRANDE 82.5 % 2024-06-07 0-shot view

Pricing

Tier Price Currency
Input$0.5 / MtokUSD
Output$0.8 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://help.aliyun.com/zh/model-studio/getting-started/models · as of 2024-06-07

Compliance

  • Data Residency: CN
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

Qwen2 72B

Model Overview

阿里巴巴 Qwen2 72B 开源旗舰, 131K 上下文, 多语言/数学/编程能力突出, 性能接近 GPT-4。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Alibaba 2-72b 2024-06-07 131K text text Qwen License

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 80.2 % 5-shot
HumanEval 76.5 pass@1
GSM8K (Grade School Math 8K) 87.0 % 0-shot CoT
MATH 71.9 % 0-shot CoT
BBH (BIG-Bench Hard) 83.4 % 3-shot CoT
GPQA 53.6 % 0-shot
IFEval 76.9 % prompt_strict
ARC 94.4 % challenge
MUSR 68.9 % 0-shot
WinoGrande 82.5 % 0-shot

Pricing

Input Output Cache Read Cache Write

per million tokens

Strengths

  • MMLU score 80.2, strong knowledge reasoning.
  • GSM8K 87.0, robust math reasoning.

Weaknesses

  • Proprietary, not self-hostable.

Use Cases

  • Code generation and debugging

References