Updated March 26, 2026· Based on independent benchmark data
MiMo-V2-Pro leads in intelligence with a score of 49.2 vs 46.8. For speed, MiMo-V2-Pro wins at 91 tok/s vs 0 tok/s.
| Metric | MiMo-V2-Pro | GLM-5-Turbo |
|---|---|---|
| Intelligence Score | 49.2 | 46.8 |
| Coding Score | 41.4 | 36.8 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 91 tok/s | 0 tok/s |
| Latency (TTFT) | 1.55s | 0.00s |
| Input Price / 1M tokens | $1.00 | Free |
| Output Price / 1M tokens | $3.00 | Free |
| Context Window | N/A | N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
MiMo-V2-Pro outperforms GLM-5-Turbo on the intelligence index with a score of 49.2 compared to 46.8. For coding tasks, MiMo-V2-Pro has the edge with a coding score of 41.4 vs 36.8.
MiMo-V2-Pro generates output significantly faster at 91 tok/s compared to GLM-5-Turbo's 0 tok/s, making it Infinityx faster for streaming responses. Time to first token is 0.00s for GLM-5-Turbo vs 1.55s for MiMo-V2-Pro, which affects perceived responsiveness in interactive applications.
GLM-5-Turbo is completely free, while MiMo-V2-Pro costs $1.00/1M input tokens and $3.00/1M output tokens.
Choose MiMo-V2-Pro when you need higher intelligence (49.2), stronger coding performance (41.4), faster output (91 tok/s).
MiMo-V2-Pro scores higher on coding benchmarks (41.4 vs 36.8), making it the better choice for programming tasks.
MiMo-V2-Pro is faster, producing output at 91 tok/s compared to GLM-5-Turbo's 0 tok/s.
No, MiMo-V2-Pro does not support image input. Neither model supports image input.
It depends on your priorities. MiMo-V2-Pro scores higher on intelligence (49.2), but GLM-5-Turbo may be better for specific use cases like cost savings or speed-critical applications.
Data last synced: March 26, 2026
| Output Modalities | Text | Text |
| Free Tier | No | Yes |