Jurassic-2 Ultra: Complete Benchmark Performance Guide

other j2-ultra 2023-01-12 Proprietary

In-depth analysis of Jurassic-2 Ultra performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendorother
Versionj2-ultra
Release Date2023-01-12
Context Window8192 tokens
Input Modalitiestext
Output Modalitiestext
LicenseProprietary
Documentationhttps://huggingface.co/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 62.5 % 2023-01-12 5-shot view
HUMANEVAL 50.9 pass@1 2023-01-12 — view
GSM8K 30.3 % 2023-01-12 0-shot CoT view
MATH 27.5 % 2023-01-12 0-shot CoT view
BBH 52.9 % 2023-01-12 3-shot CoT view
GPQA 28.7 % 2023-01-12 0-shot view
IFEVAL 47.9 % 2023-01-12 prompt_strict view
ARC 82.1 % 2023-01-12 challenge view
MUSR 42.9 % 2023-01-12 0-shot view
WINOGRANDE 74.4 % 2023-01-12 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 2023-01-12

Compliance

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

Jurassic-2 Ultra

Model Overview

AI21 Labs Jurassic-2 Ultra 旗舰模型, 8K 上下文, 在 J2 系列中性能最强, 适合复杂推理任务。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Other j2-ultra 2023-01-12 8K text text Proprietary

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 62.5 % 5-shot
HumanEval 50.9 pass@1 —
GSM8K (Grade School Math 8K) 30.3 % 0-shot CoT
MATH 27.5 % 0-shot CoT
BBH (BIG-Bench Hard) 52.9 % 3-shot CoT
GPQA 28.7 % 0-shot
IFEval 47.9 % prompt_strict
ARC 82.1 % challenge
MUSR 42.9 % 0-shot
WinoGrande 74.4 % 0-shot

Pricing

Input Output Cache Read Cache Write
— — — —

per million tokens

Strengths

  • Reliable general-purpose model.

Weaknesses

  • Proprietary, not self-hostable.
  • Context window 8K is limited.

Use Cases

  • Agent workflows and tool use

References