Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5V-Turbo
~58
Winner · 1/8 categoriesMixtral 8x22B Instruct v0.1
36
0/8 categoriesGLM-5V-Turbo· Mixtral 8x22B Instruct v0.1
Pick GLM-5V-Turbo if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if you want the cheaper token bill.
GLM-5V-Turbo is clearly ahead on the aggregate, 58 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5V-Turbo's sharpest advantage is in agentic, where it averages 58 against 31.8. The single biggest benchmark swing on the page is OSWorld-Verified, 62.3% to 28%.
GLM-5V-Turbo is also the more expensive model on tokens at $1.20 input / $4.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mixtral 8x22B Instruct v0.1. That is roughly Infinityx on output cost alone. GLM-5V-Turbo gives you the larger context window at 200K, compared with 64K for Mixtral 8x22B Instruct v0.1.
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 | Mixtral 8x22B Instruct v0.1 |
|---|---|---|
| AgenticGLM-5V-Turbo wins | ||
| BrowseComp | 51.9% | 32% |
| OSWorld-Verified | 62.3% | 28% |
| BrowseComp-VL | 51.9% | — |
| OSWorld | 62.3% | — |
| AndroidWorld | 75.7% | — |
| WebVoyager | 88.5% | — |
| Terminal-Bench 2.0 | — | 35% |
| Coding | ||
| HumanEval | — | 54.8% |
| SWE-bench Pro | — | 40% |
| 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% | — |
| MMMU-Pro | — | 35% |
| OfficeQA Pro | — | 36% |
| Reasoning | ||
| LongBench v2 | — | 39% |
| MRCRv2 | — | 38% |
| Knowledge | ||
| MMLU | — | 77.8% |
| FrontierScience | — | 53% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MMLU-ProX | — | 42% |
| Mathematics | ||
| Coming soon | ||
GLM-5V-Turbo is ahead overall, 58 to 36. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 62.3% and 28%.
GLM-5V-Turbo has the edge for agentic tasks in this comparison, averaging 58 versus 31.8. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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