Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5V-Turbo
~58
0/8 categoriesMiMo-V2-Pro
~85
Winner · 1/8 categoriesGLM-5V-Turbo· MiMo-V2-Pro
Pick MiMo-V2-Pro if you want the stronger benchmark profile. GLM-5V-Turbo only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Pro is clearly ahead on the aggregate, 85 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Pro's sharpest advantage is in agentic, where it averages 86.7 against 58.
MiMo-V2-Pro is the reasoning model in the pair, while GLM-5V-Turbo is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2-Pro gives you the larger context window at 1M, compared with 200K for GLM-5V-Turbo.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| AgenticMiMo-V2-Pro wins | ||
| BrowseComp | 51.9% | — |
| OSWorld-Verified | 62.3% | — |
| BrowseComp-VL | 51.9% | — |
| OSWorld | 62.3% | — |
| AndroidWorld | 75.7% | — |
| WebVoyager | 88.5% | — |
| Terminal-Bench 2.0 | — | 86.7% |
| Coding | ||
| SWE-bench Verified | — | 78% |
| Multimodal & Grounded | ||
| Design2Code | 94.8% | — |
| Flame-VLM-Code | 93.8% | — |
| Vision2Web | 31.0% | — |
| ImageMining | 30.7% | — |
| MMSearch | 72.9% | — |
| MMSearch-Plus | 30.0% | — |
| SimpleVQA | 78.2% | — |
| Facts-VLM | 58.6% | — |
| V* | 89.0% | — |
| Reasoning | ||
| Coming soon | ||
| Knowledge | ||
| GPQA | — | 87% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
MiMo-V2-Pro is ahead overall, 85 to 58.
MiMo-V2-Pro has the edge for agentic tasks in this comparison, averaging 86.7 versus 58. GLM-5V-Turbo stays close enough that the answer can still flip depending on your workload.
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