Updated March 26, 2026· Based on independent benchmark data
GPT-5.3 Codex (xhigh) leads in intelligence with a score of 54.0 vs 12.0. Qwen2.5 Turbo is 35.0x cheaper at $0.05/1M tokens vs $1.75/1M.
| Metric | Qwen2.5 Turbo | GPT-5.3 Codex (xhigh) |
|---|---|---|
| Intelligence Score | 12.0 | 54.0 |
| Coding Score | N/A | 53.1 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 62 tok/s | 72 tok/s |
| Latency (TTFT) | 1.03s | 83.91s |
| Input Price / 1M tokens | $0.05 | $1.75 |
| Output Price / 1M tokens | $0.20 | $14 |
| Context Window | N/A | N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
GPT-5.3 Codex (xhigh) outperforms Qwen2.5 Turbo on the intelligence index with a score of 54.0 compared to 12.0.
Both models deliver similar output speeds: Qwen2.5 Turbo at 62 tok/s and GPT-5.3 Codex (xhigh) at 72 tok/s. Time to first token is 1.03s for Qwen2.5 Turbo vs 83.91s for GPT-5.3 Codex (xhigh), which affects perceived responsiveness in interactive applications.
Qwen2.5 Turbo is more affordable at $0.05/1M input tokens ($0.20/1M output), while GPT-5.3 Codex (xhigh) costs $1.75/1M input ($14/1M output). That makes GPT-5.3 Codex (xhigh) 35.0x more expensive per token, which can add up significantly at scale. For a typical workload of 100 requests per day at 2,000 tokens each, Qwen2.5 Turbo would cost approximately $0.30/month vs $10.50/month for GPT-5.3 Codex (xhigh) in input costs alone.
Choose Qwen2.5 Turbo when you need lower cost. Choose GPT-5.3 Codex (xhigh) when you need higher intelligence (54.0).
Qwen2.5 Turbo is cheaper at $0.05/1M input tokens vs $1.75/1M for GPT-5.3 Codex (xhigh).
GPT-5.3 Codex (xhigh) is faster, producing output at 72 tok/s compared to Qwen2.5 Turbo's 62 tok/s.
No, Qwen2.5 Turbo does not support image input. Neither model supports image input.
It depends on your priorities. GPT-5.3 Codex (xhigh) scores higher on intelligence (54.0), but Qwen2.5 Turbo may be better for specific use cases like budget-conscious projects or speed-critical applications.
Data last synced: March 26, 2026
| Output Modalities |
| Text |
| Text |
| Free Tier | No | No |