Model Comparison

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

OpenAI

GPT-4.1

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents OpenAI's latest advancement in AI technology.

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-4.1

OpenAI

2025-04-14

Alibaba

Qwen3 235B A22B

Alibaba

2025-04-29

15 days newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1

Input:$2.00
Output:$8.00
Alibaba

Qwen3 235B A22B

$9.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1

Larger context
Max Context:1.1M
Alibaba

Qwen3 235B A22B

Max Context:256.0K
Parameters:235.0B

Average performance across 5 common benchmarks

OpenAI

GPT-4.1

Average Score:67.7%
Alibaba

Qwen3 235B A22B

+10.2%
Average Score:77.8%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1

code
+10.8%
87.4%
math
72.2%
general
53.4%
Alibaba

Qwen3 235B A22B

code
76.6%
math
+11.1%
83.3%
general
+21.3%
74.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
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-4.1

Avg Score:67.7%
Providers:1
Alibaba

Qwen3 235B A22B

+10.2%
Avg Score:77.8%
Providers:4