o4 Mini 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 o4 Mini and Qwen2.5 7B Instruct.
o4 Mini
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
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 | o4 Mini | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 200,000 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 | 2025-04-16 | 2024-10-16 |
API Pricing Comparison
Input Price per Million Tokens
o4 Mini
$1.10
Qwen2.5 7B Instruct
$0.04
Output Price per Million Tokens
o4 Mini
$4.40
Qwen2.5 7B Instruct
$0.10
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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.
o4 Mini Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 7B Instruct Quirks & Gotchas
No developer gotchas reported.