Model Comparison

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

OpenAI

GPT-4

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

Alibaba

Qwen3 235B A22B

Alibaba

Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. It supports a 256K 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 2025, it represents Alibaba's latest advancement in AI technology.

OpenAI

GPT-4

OpenAI

2023-06-13

Alibaba

Qwen3 235B A22B

Alibaba

2025-04-29

1 year newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4

Input:$30.00
Output:$60.00
Alibaba

Qwen3 235B A22B

$89.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4

Max Context:65.5K
Alibaba

Qwen3 235B A22B

Larger context
Max Context:256.0K
Parameters:235.0B

Average performance across 4 common benchmarks

OpenAI

GPT-4

Average Score:59.6%
Alibaba

Qwen3 235B A22B

+13.0%
Average Score:72.7%

Performance comparison across key benchmark categories

OpenAI

GPT-4

math
68.5%
code
67.0%
general
+1.4%
76.2%
Alibaba

Qwen3 235B A22B

math
+14.8%
83.3%
code
+9.6%
76.6%
general
74.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen3 235B A22B

4 providers

Together

Throughput: 23.74 tok/s
Latency: 0.79ms

DeepInfra

Throughput: 21.74 tok/s
Latency: 1.23ms

Fireworks

Throughput: 68.17 tok/s
Latency: 0.78ms

Novita

Throughput: 38.51 tok/s
Latency: 1.02ms
OpenAI

GPT-4

Avg Score:59.6%
Providers:2
Alibaba

Qwen3 235B A22B

+13.0%
Avg Score:72.7%
Providers:4