OpenAI: GPT-5.1-Codex-Mini vs Qwen: Qwen2.5 VL 72B Instruct
Head-to-head API cost, context, and performance comparison. Synced at 2:32:00 PM.
Executive Summary
When evaluating OpenAI: GPT-5.1-Codex-Mini against Qwen: Qwen2.5 VL 72B Instruct, the pricing structure is a key differentiator. Qwen: Qwen2.5 VL 72B Instruct is approximately 56% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Qwen: Qwen2.5 VL 72B Instruct leads with a statistical ELO score of 1490. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen2.5 VL 72B Instruct, provided their budget allows for the API burn rate.
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Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Qwen: Qwen2.5 VL 72B Instruct is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen2.5 VL 72B Instruct wins out aggressively in pricing.
People Also Ask
Is OpenAI: GPT-5.1-Codex-Mini cheaper than Qwen: Qwen2.5 VL 72B Instruct?
No. Qwen: Qwen2.5 VL 72B Instruct is the more cost-effective model, operating at a lower price point per 1 million tokens.
Which model has the larger context window?
The OpenAI: GPT-5.1-Codex-Mini model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.