Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Holo2-30B-A3B
Coming soon
0/8 categoriesPhi-4
46
Winner · 0/8 categoriesHolo2-30B-A3B· Phi-4
Benchmark data for Holo2-30B-A3B and Phi-4 is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for Holo2-30B-A3B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Holo2-30B-A3B has the larger context window at 262K, compared with 16K for Phi-4.
| Benchmark | Holo2-30B-A3B | Phi-4 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 44% |
| BrowseComp | — | 35% |
| OSWorld-Verified | — | 34% |
| Coding | ||
| HumanEval | — | 82.6% |
| SWE-bench Pro | — | 55% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 54% |
| OfficeQA Pro | — | 38% |
| Reasoning | ||
| LongBench v2 | — | 30% |
| MRCRv2 | — | 33% |
| Knowledge | ||
| MMLU | — | 84.8% |
| GPQA | — | 56.1% |
| FrontierScience | — | 52% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MGSM | — | 80.6% |
| MMLU-ProX | — | 60% |
| Mathematics | ||
| Coming soon | ||
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
Phi-4: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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