GPT-4.1 Nano vs Qwen2.5 Coder 32B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-4.1 Nano vs. Qwen2.5 Coder 32B Instruct
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Overview
Qwen2.5 Coder 32B Instruct was released 5 months before GPT-4.1 Nano.
 GPT-4.1 Nano |  Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Qwen |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 32.8K tokens |
Release Date When this model first became publicly available | April 14, 2025 1 year ago April 14th, 2025 | November 11, 2024 1 year ago November 11th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4.1 Nano | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4.1 Nano is roughly 0.2x less expensive compared to Qwen2.5 Coder 32B Instruct for input tokens and roughly 0.4x less expensive for output tokens.
| GPT-4.1 Nano | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.10 per million tokens | $0.66 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $1.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.02 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-4.1 Nano and Qwen2.5 Coder 32B Instruct.
| GPT-4.1 Nano | Qwen2.5 Coder 32B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 9.6 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 11.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 1.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,029 Elo (#96 in Game Dev (49.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-4.1 Nano and Qwen2.5 Coder 32B Instruct unique.
GPT-4.1 Nano by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.10/M input and $0.40/M output tokens. Includes built-in content moderation for safer outputs. Released April 14th, 2025.Qwen2.5 Coder 32B Instruct by Qwen is a text-based AI model. It can handle standard conversations with its 32.8K token context window. Reasonably priced at $0.66/M input and $1.00/M output tokens. Released November 11th, 2024.Explore More Comparisons
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