Yi Large Turbo: Complete Benchmark Performance Guide

other yi-large-turbo 2024-07-24 Proprietary

In-depth analysis of Yi Large Turbo performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendorother
Versionyi-large-turbo
Release Date2024-07-24
Context Window16384 tokens
Input Modalitiestext
Output Modalitiestext
LicenseProprietary
Documentationhttps://huggingface.co/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 84.4 % 2024-07-24 5-shot view
HUMANEVAL 72.4 pass@1 2024-07-24 — view
GSM8K 81 % 2024-07-24 0-shot CoT view
MATH 42.2 % 2024-07-24 0-shot CoT view
BBH 76.4 % 2024-07-24 3-shot CoT view
GPQA 38.2 % 2024-07-24 0-shot view
IFEVAL 70.7 % 2024-07-24 prompt_strict view
ARC 95.6 % 2024-07-24 challenge view
MUSR 63.7 % 2024-07-24 0-shot view
WINOGRANDE 82.3 % 2024-07-24 0-shot view

Pricing

Tier Price Currency
Input$2 / MtokUSD
Output$2 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://huggingface.co/models · as of 2024-07-24

Compliance

  • Data Residency: self-host
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

Yi Large Turbo

Model Overview

01.AI Yi Large Turbo 经济型旗舰, 16K 上下文, 速度快成本低, 性能接近 Yi Large。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Other yi-large-turbo 2024-07-24 16K text text Proprietary

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 84.4 % 5-shot
HumanEval 72.4 pass@1 —
GSM8K (Grade School Math 8K) 81.0 % 0-shot CoT
MATH 42.2 % 0-shot CoT
BBH (BIG-Bench Hard) 76.4 % 3-shot CoT
GPQA 38.2 % 0-shot
IFEval 70.7 % prompt_strict
ARC 95.6 % challenge
MUSR 63.7 % 0-shot
WinoGrande 82.3 % 0-shot

Pricing

Input Output Cache Read Cache Write
— — — —

per million tokens

Strengths

  • MMLU score 84.4, strong knowledge reasoning.

Weaknesses

  • Proprietary, not self-hostable.
  • Context window 16K is limited.

Use Cases

  • Code generation and debugging
  • Agent workflows and tool use

References