Updated March 26, 2026· Based on independent benchmark data
MiMo-V2-Pro and GPT-5.2 Codex (xhigh) are virtually tied on intelligence (49.2 vs 49.0). MiMo-V2-Pro is 1.8x cheaper at $1.00/1M tokens vs $1.75/1M.
| Metric | MiMo-V2-Pro | GPT-5.2 Codex (xhigh) |
|---|---|---|
| Intelligence Score | 49.2 | 49.0 |
| Coding Score | 41.4 | 43.0 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 91 tok/s | 99 tok/s |
| Latency (TTFT) | 1.55s | 6.86s |
| Input Price / 1M tokens | $1.00 | $1.75 |
| Output Price / 1M tokens | $3.00 | $14 |
| Context Window | N/A | N/A |
MiMo-V2-Pro and GPT-5.2 Codex (xhigh) perform similarly on overall intelligence, scoring 49.2 and 49.0 respectively. Their coding capabilities are closely matched (41.4 vs 43.0).
Both models deliver similar output speeds: MiMo-V2-Pro at 91 tok/s and GPT-5.2 Codex (xhigh) at 99 tok/s. Time to first token is 1.55s for MiMo-V2-Pro vs 6.86s for GPT-5.2 Codex (xhigh), which affects perceived responsiveness in interactive applications.
MiMo-V2-Pro is more affordable at $1.00/1M input tokens ($3.00/1M output), while GPT-5.2 Codex (xhigh) costs $1.75/1M input ($14/1M output). For a typical workload of 100 requests per day at 2,000 tokens each, MiMo-V2-Pro would cost approximately $6.00/month vs $10.50/month for GPT-5.2 Codex (xhigh) in input costs alone.
Choose MiMo-V2-Pro when you need lower cost.
GPT-5.2 Codex (xhigh) scores higher on coding benchmarks (43.0 vs 41.4), making it the better choice for programming tasks.
MiMo-V2-Pro is cheaper at $1.00/1M input tokens vs $1.75/1M for GPT-5.2 Codex (xhigh).
GPT-5.2 Codex (xhigh) is faster, producing output at 99 tok/s compared to MiMo-V2-Pro's 91 tok/s.
No, MiMo-V2-Pro does not support image input. Neither model supports image input.
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 |
Both models perform similarly on intelligence benchmarks. Choose based on specific needs: pricing, speed, context window, or provider ecosystem.