GPT-4o (2024-05-13) vs Qwen2.5 7B Instruct
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 (2024-05-13) and Qwen2.5 7B Instruct.
GPT-4o (2024-05-13)
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Technical Specifications
| Specification | GPT-4o (2024-05-13) | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 128,000 tokens | 131,072 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 | 2024-05-13 | 2024-10-16 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o (2024-05-13)
$5.00
Qwen2.5 7B Instruct
$0.04
Output Price per Million Tokens
GPT-4o (2024-05-13)
$15.00
Qwen2.5 7B Instruct
$0.10
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 (2024-05-13) Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 7B Instruct Quirks & Gotchas
No developer gotchas reported.