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 72B Instruct

Alibaba

Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. 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 72B 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 72B Instruct

$39.25 cheaper
Input:$0.35
Output:$0.40

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4 Turbo

Max Context:132.1K
Alibaba

Qwen2.5 72B Instruct

Larger context
Max Context:139.3K
Parameters:72.7B

Average performance across 3 common benchmarks

OpenAI

GPT-4 Turbo

Average Score:69.2%
Alibaba

Qwen2.5 72B Instruct

+3.7%
Average Score:72.9%

Performance comparison across key benchmark categories

OpenAI

GPT-4 Turbo

math
80.5%
code
+8.5%
87.1%
general
73.5%
Alibaba

Qwen2.5 72B Instruct

math
+8.9%
89.5%
code
78.6%
general
+0.6%
74.1%
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 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
OpenAI

GPT-4 Turbo

Avg Score:69.2%
Providers:2
Alibaba

Qwen2.5 72B Instruct

+3.7%
Avg Score:72.9%
Providers:4