Model Comparison

GPT-5 mini vs Qwen2.5-Coder 32B Instruct

Comparing GPT-5 mini and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5 mini and Qwen2.5-Coder 32B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, GPT-5 mini ($0.25/1M tokens) is 2.8x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, GPT-5 mini ($2.00/1M tokens) is 22.2x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, GPT-5 mini 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

Sat May 30 2026 • llm-stats.com

GPT-5 mini

Input tokens$0.25

Output tokens$2.00

Best providerOpenAI

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

GPT-5 mini accepts 400,000 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

GPT-5 mini

Input400,000 tokens

Output128,000 tokens

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GPT-5 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 mini

Text

Images

Audio

Video

Qwen2.5-Coder 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5 mini 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-5 mini

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 mini was released on 2025-08-07, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

GPT-5 mini is 11 months newer than Qwen2.5-Coder 32B Instruct.

GPT-5 mini

Aug 7, 2025

9 months ago

10mo newer

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.

We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.

GPT-5 mini

May 2024

Qwen2.5-Coder 32B Instruct

—

Provider Availability

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

GPT-5 mini

OpenAI

Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M

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-5 mini

View details

OpenAI

Larger context window (400,000 tokens)

Supports multimodal inputs

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-5 mini	Qwen2.5-Coder 32B Instruct

FAQ

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

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

GPT-5 mini (OpenAI) and Qwen2.5-Coder 32B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

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

GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

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

Qwen2.5-Coder 32B Instruct is 2.8x cheaper for input tokens. GPT-5 mini costs $0.25/M input and $2.00/M output via openai. 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-5 mini and Qwen2.5-Coder 32B Instruct?

GPT-5 mini supports 400K 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-5 mini and Qwen2.5-Coder 32B Instruct?

Key differences include context window (400K vs 128K), input pricing ($0.25 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-5 mini and Qwen2.5-Coder 32B Instruct?

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