GPT-4o-mini vs Qwen Plus 0728
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-4o-mini and Qwen Plus 0728.
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Qwen Plus 0728
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Technical Specifications
| Specification | GPT-4o-mini | Qwen Plus 0728 |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Agent Suitability | 82/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2024-07-18 | 2025-09-08 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o-mini
$0.15
Qwen Plus 0728
$0.26
Output Price per Million Tokens
GPT-4o-mini
$0.60
Qwen Plus 0728
$0.78
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT-4o-mini Quirks & Gotchas
- ▸Ultra-low latency — best TTFT in the OpenAI lineup
- ▸Tool calling limited to single-step — not suitable for complex agentic pipelines
Qwen Plus 0728 Quirks & Gotchas
No developer gotchas reported.