GPT-4o (2024-08-06) vs Qwen3.5 397B A17B
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 (2024-08-06) and Qwen3.5 397B A17B.
GPT-4o (2024-08-06)
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Technical Specifications
| Specification | GPT-4o (2024-08-06) | Qwen3.5 397B A17B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 128,000 tokens | 256,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-08-06 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o (2024-08-06)
$2.50
Qwen3.5 397B A17B
$0.39
Output Price per Million Tokens
GPT-4o (2024-08-06)
$10.00
Qwen3.5 397B A17B
$2.45
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 (2024-08-06) Quirks & Gotchas
No developer gotchas reported.
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.