Model Comparison

GPT-4o vs Qwen2.5-Coder 32B Instruct

GPT-4o significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 48.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, GPT-4o ($2.50/1M tokens) is 27.8x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 111.1x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, GPT-4o is more expensive than Qwen2.5-Coder 32B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Mon May 25 2026 • llm-stats.com

GPT-4o

Input tokens$2.50

Output tokens$10.00

Best providerAzure

Qwen2.5-Coder 32B Instruct

Input tokens$0.09

Output tokens$0.09

Best providerLambda

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 16,384 tokens.

GPT-4o

Input128,000 tokens

Output16,384 tokens

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text

Images

Audio

Video

Qwen2.5-Coder 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4o

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 1 month newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.8 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.7 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-4o is available from Azure, OpenAI. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

GPT-4o

Azure

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

OpenAI

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Qwen2.5-Coder 32B Instruct

Lambda

Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Hyperbolic

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-4o

View details

OpenAI

Supports multimodal inputs

Higher MMLU score (85.7% vs 75.1%)

Higher MMLU-Pro score (74.7% vs 50.4%)

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	Qwen2.5-Coder 32B Instruct

FAQ

Common questions about GPT-4o vs Qwen2.5-Coder 32B Instruct.

Which is better, GPT-4o or Qwen2.5-Coder 32B Instruct?

GPT-4o significantly outperforms across most benchmarks. GPT-4o is made by OpenAI and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o compare to Qwen2.5-Coder 32B Instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Is GPT-4o cheaper than Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct is 27.8x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

What are the context window sizes for GPT-4o and Qwen2.5-Coder 32B Instruct?

GPT-4o supports 128K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o and Qwen2.5-Coder 32B Instruct?

Key differences include input pricing ($2.50 vs $0.09/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and Qwen2.5-Coder 32B Instruct?

GPT-4o is developed by OpenAI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.