Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.

Qwen2.5 7B Instruct

Alibaba

Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Grok-1.5

xAI

2024-03-28

Qwen2.5 7B Instruct

Alibaba

2024-09-19

5 months newer

Performance Metrics

Context window and performance specifications

Grok-1.5

Max Context:-

Qwen2.5 7B Instruct

Larger context

Max Context:139.3K

Parameters:7.6B

Average performance across 5 common benchmarks

Grok-1.5

Average Score:60.3%

Qwen2.5 7B Instruct

+8.6%

Average Score:68.9%

Performance comparison across key benchmark categories

Grok-1.5

math

64.5%

code

+8.1%

74.1%

general

56.1%

Qwen2.5 7B Instruct

math

+19.1%

83.5%

code

66.0%

general

+4.6%

60.6%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Grok-1.5

0 providers

Qwen2.5 7B Instruct

1 providers

Together

Throughput: 138 tok/s

Latency: 0.5ms

Grok-1.5

Avg Score:60.3%

Providers:0

Qwen2.5 7B Instruct

+8.6%

Avg Score:68.9%

Providers:1