Updated March 25, 2026· Based on independent benchmark data
OpenAI: GPT-5.2-Codex leads in intelligence with a score of 54.0 vs 48.4. For speed, Google: Gemini 3 Pro Preview wins at 116 tok/s vs 68 tok/s.
| Metric | Google: Gemini 3 Pro Preview | OpenAI: GPT-5.2-Codex |
|---|---|---|
| Intelligence Score | 48.4 | 54.0 |
| Coding Score | 46.5 | 53.1 |
| Math Score | 95.7 | N/A |
| Speed (tok/s) | 116 tok/s | 68 tok/s |
| Latency (TTFT) | 25.53s | 75.14s |
| Input Price / 1M tokens | $2.00 | $1.75 |
| Output Price / 1M tokens | $12 | $14 |
| Context Window | 1.0M |
OpenAI: GPT-5.2-Codex outperforms Google: Gemini 3 Pro Preview on the Artificial Analysis intelligence index with a score of 54.0 compared to 48.4. For coding tasks, OpenAI: GPT-5.2-Codex has the edge with a coding score of 53.1 vs 46.5.
Google: Gemini 3 Pro Preview generates output significantly faster at 116 tok/s compared to OpenAI: GPT-5.2-Codex's 68 tok/s, making it 1.7x faster for streaming responses. Time to first token is 25.53s for Google: Gemini 3 Pro Preview vs 75.14s for OpenAI: GPT-5.2-Codex, which affects perceived responsiveness in interactive applications.
OpenAI: GPT-5.2-Codex is more affordable at $1.75/1M input tokens ($14/1M output), while Google: Gemini 3 Pro Preview costs $2.00/1M input ($12/1M output). For a typical workload of 100 requests per day at 2,000 tokens each, Google: Gemini 3 Pro Preview would cost approximately $12.00/month vs $10.50/month for OpenAI: GPT-5.2-Codex in input costs alone.
Google: Gemini 3 Pro Preview offers a larger context window at 1.0M tokens compared to OpenAI: GPT-5.2-Codex's 400K. This means Google: Gemini 3 Pro Preview can process roughly 524 pages of text in a single request vs 200 pages for OpenAI: GPT-5.2-Codex. For output length, OpenAI: GPT-5.2-Codex can generate up to 128K tokens per response vs 66K for Google: Gemini 3 Pro Preview.
Choose Google: Gemini 3 Pro Preview when you need faster output (116 tok/s), larger context window (1.0M). Choose OpenAI: GPT-5.2-Codex when you need higher intelligence (54.0), stronger coding performance (53.1).
OpenAI: GPT-5.2-Codex scores higher on coding benchmarks (53.1 vs 46.5), making it the better choice for programming tasks.
OpenAI: GPT-5.2-Codex is cheaper at $1.75/1M input tokens vs $2.00/1M for Google: Gemini 3 Pro Preview.
Google: Gemini 3 Pro Preview is faster, producing output at 116 tok/s compared to OpenAI: GPT-5.2-Codex's 68 tok/s.
Yes, Google: Gemini 3 Pro Preview supports image input. OpenAI: GPT-5.2-Codex also supports images.
Benchmark data by Artificial Analysis
Data last synced: March 25, 2026
| 400K |
| Max Output Tokens | 66K | 128K |
| Input Modalities | Text + Image + File + Audio + Video | Text + Image |
| Output Modalities | Text | Text |
| Free Tier | No | No |
Google: Gemini 3 Pro Preview has a larger context window at 1.0M compared to OpenAI: GPT-5.2-Codex's 400K.
It depends on your priorities. OpenAI: GPT-5.2-Codex scores higher on intelligence (54.0), but Google: Gemini 3 Pro Preview may be better for specific use cases like budget-conscious projects or speed-critical applications.