Updated March 26, 2026· Based on independent benchmark data
GPT-5.3 Codex (xhigh) leads in intelligence with a score of 54.0 vs 6.4. Gemma 3n E4B Instruct is 87.5x cheaper at $0.02/1M tokens vs $1.75/1M. For speed, GPT-5.3 Codex (xhigh) wins at 72 tok/s vs 51 tok/s.
| Metric | Gemma 3n E4B Instruct | GPT-5.3 Codex (xhigh) |
|---|---|---|
| Intelligence Score | 6.4 | 54.0 |
| Coding Score | 4.2 | 53.1 |
| Math Score | 14.3 | N/A |
| Speed (tok/s) | 51 tok/s | 72 tok/s |
| Latency (TTFT) | 0.32s | 83.91s |
| Input Price / 1M tokens | $0.02 | $1.75 |
| Output Price / 1M tokens | $0.04 | $14 |
| Context Window | N/A |
GPT-5.3 Codex (xhigh) outperforms Gemma 3n E4B Instruct on the intelligence index with a score of 54.0 compared to 6.4. For coding tasks, GPT-5.3 Codex (xhigh) has the edge with a coding score of 53.1 vs 4.2.
GPT-5.3 Codex (xhigh) generates output significantly faster at 72 tok/s compared to Gemma 3n E4B Instruct's 51 tok/s, making it 1.4x faster for streaming responses. Time to first token is 0.32s for Gemma 3n E4B Instruct vs 83.91s for GPT-5.3 Codex (xhigh), which affects perceived responsiveness in interactive applications.
Gemma 3n E4B Instruct is more affordable at $0.02/1M input tokens ($0.04/1M output), while GPT-5.3 Codex (xhigh) costs $1.75/1M input ($14/1M output). That makes GPT-5.3 Codex (xhigh) 87.5x 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, Gemma 3n E4B Instruct would cost approximately $0.12/month vs $10.50/month for GPT-5.3 Codex (xhigh) in input costs alone.
Choose Gemma 3n E4B Instruct when you need lower cost. Choose GPT-5.3 Codex (xhigh) when you need higher intelligence (54.0), stronger coding performance (53.1), faster output (72 tok/s).
GPT-5.3 Codex (xhigh) scores higher on coding benchmarks (53.1 vs 4.2), making it the better choice for programming tasks.
Gemma 3n E4B Instruct is cheaper at $0.02/1M 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 Gemma 3n E4B Instruct's 51 tok/s.
No, Gemma 3n E4B Instruct 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 Gemma 3n E4B Instruct may be better for specific use cases like budget-conscious projects or speed-critical applications.