Updated March 26, 2026· Based on independent benchmark data
GLM-5-Turbo leads in intelligence with a score of 46.8 vs 43.4.
| Metric | GLM-5-Turbo | MiMo-V2-Omni |
|---|---|---|
| Intelligence Score | 46.8 | 43.4 |
| Coding Score | 36.8 | 35.5 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 0 tok/s | 0 tok/s |
| Latency (TTFT) | 0.00s | 0.00s |
| Input Price / 1M tokens | Free | Free |
| Output Price / 1M tokens | Free | Free |
| Context Window | N/A | N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
| Output Modalities |
GLM-5-Turbo outperforms MiMo-V2-Omni on the intelligence index with a score of 46.8 compared to 43.4. Their coding capabilities are closely matched (36.8 vs 35.5).
MiMo-V2-Omni generates output significantly faster at 0 tok/s compared to GLM-5-Turbo's 0 tok/s, making it NaNx faster for streaming responses. Time to first token is 0.00s for MiMo-V2-Omni vs 0.00s for GLM-5-Turbo, which affects perceived responsiveness in interactive applications.
Both GLM-5-Turbo and MiMo-V2-Omni are available for free.
Choose GLM-5-Turbo when you need higher intelligence (46.8).
GLM-5-Turbo scores higher on coding benchmarks (36.8 vs 35.5), making it the better choice for programming tasks.
Both models have similar output speeds of around 0 tok/s.
No, GLM-5-Turbo does not support image input. Neither model supports image input.
It depends on your priorities. GLM-5-Turbo scores higher on intelligence (46.8), but MiMo-V2-Omni may be better for specific use cases like cost savings or speed-critical applications.
Data last synced: March 26, 2026
| Text |
| Text |
| Free Tier | Yes | Yes |