Updated March 26, 2026· Based on independent benchmark data
GPT-5.3 Codex (xhigh) leads in intelligence with a score of 54.0 vs 41.6. Qwen3.5 122B A10B (Reasoning) is 4.4x cheaper at $0.40/1M tokens vs $1.75/1M. For speed, Qwen3.5 122B A10B (Reasoning) wins at 133 tok/s vs 72 tok/s.
| Metric | Qwen3.5 122B A10B (Reasoning) | GPT-5.3 Codex (xhigh) |
|---|---|---|
| Intelligence Score | 41.6 | 54.0 |
| Coding Score | 34.7 | 53.1 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 133 tok/s | 72 tok/s |
| Latency (TTFT) | 1.03s | 83.91s |
| Input Price / 1M tokens | $0.40 | $1.75 |
| Output Price / 1M tokens | $3.20 | $14 |
| Context Window | N/A |
GPT-5.3 Codex (xhigh) outperforms Qwen3.5 122B A10B (Reasoning) on the intelligence index with a score of 54.0 compared to 41.6. For coding tasks, GPT-5.3 Codex (xhigh) has the edge with a coding score of 53.1 vs 34.7.
Qwen3.5 122B A10B (Reasoning) generates output significantly faster at 133 tok/s compared to GPT-5.3 Codex (xhigh)'s 72 tok/s, making it 1.8x faster for streaming responses. Time to first token is 1.03s for Qwen3.5 122B A10B (Reasoning) vs 83.91s for GPT-5.3 Codex (xhigh), which affects perceived responsiveness in interactive applications.
Qwen3.5 122B A10B (Reasoning) is more affordable at $0.40/1M input tokens ($3.20/1M output), while GPT-5.3 Codex (xhigh) costs $1.75/1M input ($14/1M output). That makes GPT-5.3 Codex (xhigh) 4.4x 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, Qwen3.5 122B A10B (Reasoning) would cost approximately $2.40/month vs $10.50/month for GPT-5.3 Codex (xhigh) in input costs alone.
Choose Qwen3.5 122B A10B (Reasoning) when you need faster output (133 tok/s), lower cost. Choose GPT-5.3 Codex (xhigh) when you need higher intelligence (54.0), stronger coding performance (53.1).
GPT-5.3 Codex (xhigh) scores higher on coding benchmarks (53.1 vs 34.7), making it the better choice for programming tasks.
Qwen3.5 122B A10B (Reasoning) is cheaper at $0.40/1M input tokens vs $1.75/1M for GPT-5.3 Codex (xhigh).
Qwen3.5 122B A10B (Reasoning) is faster, producing output at 133 tok/s compared to GPT-5.3 Codex (xhigh)'s 72 tok/s.
No, Qwen3.5 122B A10B (Reasoning) does not support image input. Neither model supports image input.
Data last synced: March 26, 2026
| N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
| Output Modalities | Text | Text |
| Free Tier | No | No |
It depends on your priorities. GPT-5.3 Codex (xhigh) scores higher on intelligence (54.0), but Qwen3.5 122B A10B (Reasoning) may be better for specific use cases like budget-conscious projects or speed-critical applications.