Updated March 26, 2026· Based on independent benchmark data
GPT-5.3 Codex (xhigh) leads in intelligence with a score of 54.0 vs 49.6. MiniMax-M2.7 is 5.8x cheaper at $0.30/1M tokens vs $1.75/1M. For speed, GPT-5.3 Codex (xhigh) wins at 72 tok/s vs 45 tok/s.
| Metric | MiniMax-M2.7 | GPT-5.3 Codex (xhigh) |
|---|---|---|
| Intelligence Score | 49.6 | 54.0 |
| Coding Score | 41.9 | 53.1 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 45 tok/s | 72 tok/s |
| Latency (TTFT) | 1.78s | 83.91s |
| Input Price / 1M tokens | $0.30 | $1.75 |
| Output Price / 1M tokens | $1.20 | $14 |
| Context Window | N/A |
GPT-5.3 Codex (xhigh) outperforms MiniMax-M2.7 on the intelligence index with a score of 54.0 compared to 49.6. For coding tasks, GPT-5.3 Codex (xhigh) has the edge with a coding score of 53.1 vs 41.9.
GPT-5.3 Codex (xhigh) generates output significantly faster at 72 tok/s compared to MiniMax-M2.7's 45 tok/s, making it 1.6x faster for streaming responses. Time to first token is 1.78s for MiniMax-M2.7 vs 83.91s for GPT-5.3 Codex (xhigh), which affects perceived responsiveness in interactive applications.
MiniMax-M2.7 is more affordable at $0.30/1M input tokens ($1.20/1M output), while GPT-5.3 Codex (xhigh) costs $1.75/1M input ($14/1M output). That makes GPT-5.3 Codex (xhigh) 5.8x 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, MiniMax-M2.7 would cost approximately $1.80/month vs $10.50/month for GPT-5.3 Codex (xhigh) in input costs alone.
Choose MiniMax-M2.7 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 41.9), making it the better choice for programming tasks.
MiniMax-M2.7 is cheaper at $0.30/1M 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 MiniMax-M2.7's 45 tok/s.
No, MiniMax-M2.7 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 MiniMax-M2.7 may be better for specific use cases like budget-conscious projects or speed-critical applications.