GPT-4.1 vs Qwen3 14B (Comparative Analysis)
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Overview
GPT-4.1 was released 14 days before Qwen3 14B.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 8.2K tokens |
Release Date When this model first became publicly available | April 14, 2025 1 year ago April 14th, 2025 | April 28, 2025 1 year ago April 28th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4.1 | Qwen3 14B | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text📁File | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4.1 is roughly 8.7x more expensive compared to Qwen3 14B for input tokens and roughly 8.8x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $2.00 per million tokens | $0.23 per million tokens |
Output Token Cost Cost per million output tokens | $8.00 per million tokens | $0.91 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 | $0.50 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-4.1 and Qwen3 14B.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 10.4 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 13.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 1.8 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,136 Elo (#72 in Game Dev (59.1% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-4.1 and Qwen3 14B unique.
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💻Technology
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🔬Science
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