Model Comparison

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

OpenAI

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Alibaba

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.

OpenAI

GPT-4 Turbo

OpenAI

2024-04-09

Alibaba

Qwen2.5 7B Instruct

Alibaba

2024-09-19

5 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4 Turbo

Input:$10.00
Output:$30.00
Alibaba

Qwen2.5 7B Instruct

$39.40 cheaper
Input:$0.30
Output:$0.30

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4 Turbo

Max Context:132.1K
Alibaba

Qwen2.5 7B Instruct

Larger context
Max Context:139.3K
Parameters:7.6B

Average performance across 3 common benchmarks

OpenAI

GPT-4 Turbo

+3.7%
Average Score:69.2%
Alibaba

Qwen2.5 7B Instruct

Average Score:65.6%

Performance comparison across key benchmark categories

OpenAI

GPT-4 Turbo

code
+21.1%
87.1%
math
80.5%
general
+12.9%
73.5%
Alibaba

Qwen2.5 7B Instruct

code
66.0%
math
+3.0%
83.5%
general
60.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 7B Instruct

1 providers

Together

Throughput: 138 tok/s
Latency: 0.5ms
OpenAI

GPT-4 Turbo

+3.7%
Avg Score:69.2%
Providers:2
Alibaba

Qwen2.5 7B Instruct

Avg Score:65.6%
Providers:1