Updated March 26, 2026· Based on independent benchmark data
GPT-5.2 Codex (xhigh) and Gemini 3 Pro Preview (high) are virtually tied on intelligence (49.0 vs 48.4).
| Metric | GPT-5.2 Codex (xhigh) | Gemini 3 Pro Preview (high) |
|---|---|---|
| Intelligence Score | 49.0 | 48.4 |
| Coding Score | 43.0 | 46.5 |
| Math Score | N/A | 95.7 |
| Speed (tok/s) | 99 tok/s | 115 tok/s |
| Latency (TTFT) | 6.86s | 36.25s |
| Input Price / 1M tokens | $1.75 | $2.00 |
| Output Price / 1M tokens | $14 | $12 |
| Context Window | N/A |
GPT-5.2 Codex (xhigh) and Gemini 3 Pro Preview (high) perform similarly on overall intelligence, scoring 49.0 and 48.4 respectively. For coding tasks, Gemini 3 Pro Preview (high) has the edge with a coding score of 46.5 vs 43.0.
Both models deliver similar output speeds: GPT-5.2 Codex (xhigh) at 99 tok/s and Gemini 3 Pro Preview (high) at 115 tok/s. Time to first token is 6.86s for GPT-5.2 Codex (xhigh) vs 36.25s for Gemini 3 Pro Preview (high), which affects perceived responsiveness in interactive applications.
GPT-5.2 Codex (xhigh) is more affordable at $1.75/1M input tokens ($14/1M output), while Gemini 3 Pro Preview (high) costs $2.00/1M input ($12/1M output). For a typical workload of 100 requests per day at 2,000 tokens each, GPT-5.2 Codex (xhigh) would cost approximately $10.50/month vs $12.00/month for Gemini 3 Pro Preview (high) in input costs alone.
Choose Gemini 3 Pro Preview (high) when you need stronger coding performance (46.5).
Gemini 3 Pro Preview (high) scores higher on coding benchmarks (46.5 vs 43.0), making it the better choice for programming tasks.
GPT-5.2 Codex (xhigh) is cheaper at $1.75/1M input tokens vs $2.00/1M for Gemini 3 Pro Preview (high).
Gemini 3 Pro Preview (high) is faster, producing output at 115 tok/s compared to GPT-5.2 Codex (xhigh)'s 99 tok/s.
No, GPT-5.2 Codex (xhigh) 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 |
Both models perform similarly on intelligence benchmarks. Choose based on specific needs: pricing, speed, context window, or provider ecosystem.