Updated March 26, 2026· Based on independent benchmark data
GPT-5.3 Codex (xhigh) leads in intelligence with a score of 54.0 vs 9.9. GPT-5.3 Codex (xhigh) is 2.3x cheaper at $1.75/1M tokens vs $4.00/1M. For speed, GPT-5.3 Codex (xhigh) wins at 72 tok/s vs 0 tok/s.
| Metric | Mistral Large (Feb '24) | GPT-5.3 Codex (xhigh) |
|---|---|---|
| Intelligence Score | 9.9 | 54.0 |
| Coding Score | N/A | 53.1 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 0 tok/s | 72 tok/s |
| Latency (TTFT) | 0.00s | 83.91s |
| Input Price / 1M tokens | $4.00 | $1.75 |
| Output Price / 1M tokens | $12 | $14 |
| Context Window | N/A | N/A |
GPT-5.3 Codex (xhigh) outperforms Mistral Large (Feb '24) on the intelligence index with a score of 54.0 compared to 9.9.
GPT-5.3 Codex (xhigh) generates output significantly faster at 72 tok/s compared to Mistral Large (Feb '24)'s 0 tok/s, making it Infinityx faster for streaming responses. Time to first token is 0.00s for Mistral Large (Feb '24) vs 83.91s for GPT-5.3 Codex (xhigh), which affects perceived responsiveness in interactive applications.
GPT-5.3 Codex (xhigh) is more affordable at $1.75/1M input tokens ($14/1M output), while Mistral Large (Feb '24) costs $4.00/1M input ($12/1M output). That makes Mistral Large (Feb '24) 2.3x 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, Mistral Large (Feb '24) would cost approximately $24.00/month vs $10.50/month for GPT-5.3 Codex (xhigh) in input costs alone.
Choose GPT-5.3 Codex (xhigh) when you need higher intelligence (54.0), faster output (72 tok/s), lower cost.
GPT-5.3 Codex (xhigh) is cheaper at $1.75/1M input tokens vs $4.00/1M for Mistral Large (Feb '24).
GPT-5.3 Codex (xhigh) is faster, producing output at 72 tok/s compared to Mistral Large (Feb '24)'s 0 tok/s.
No, Mistral Large (Feb '24) 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 Mistral Large (Feb '24) may be better for specific use cases like budget-conscious projects or speed-critical applications.
Data last synced: March 26, 2026
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
| Output Modalities | Text | Text |
| Free Tier | No | No |