Model Comparison

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

Grok-2

xAI

Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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-2

xAI

2024-08-13

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

1 month newer

Performance Metrics

Context window and performance specifications

Grok-2

Larger context

Max Context:136.0K

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Average performance across 4 common benchmarks

Grok-2

+21.2%

Average Score:81.9%

Qwen2.5-Coder 7B Instruct

Average Score:60.7%

Performance comparison across key benchmark categories

Grok-2

code

+31.1%

88.4%

general

+20.7%

73.0%

math

+7.3%

72.5%

Qwen2.5-Coder 7B Instruct

code

57.3%

general

52.3%

math

65.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Grok-2

1 providers

xAI

Throughput: 85 tok/s

Latency: 0.7ms

Qwen2.5-Coder 7B Instruct

0 providers

Grok-2

+21.2%

Avg Score:81.9%

Providers:1

Qwen2.5-Coder 7B Instruct

Avg Score:60.7%

Providers:0