Model comparison
Phi-1.5 vs Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct has enough public results to be ranked (#298); Phi-1.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Microsoft
Alibaba (Qwen)Side by side
| Phi-1.5 | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | — | 29.4 |
| Released | 2023-09-11 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $2.80 |
| Output $ / M tokens | — | $8.40 |
| Results tracked | 7 | 6 |
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Category by category
Agentic & Tool Use Not comparable
Phi-1.5: —, Qwen2.5-VL 72B Instruct: 18.4 (#136)
| Benchmark | Phi-1.5 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning Not comparable
Phi-1.5: —, Qwen2.5-VL 72B Instruct: 20.0 (#228)
| Benchmark | Phi-1.5 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| Epoch Capabilities Index | 90.82 | — |
| HellaSwag | 47.6% | — |
| WinoGrande | 73.4% | — |
Knowledge Not comparable
Phi-1.5: —, Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi-1.5 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| ARC (AI2) Challenge | 44.4% | — |
| BoolQ | 75.8% | — |
| MMLU | 37.6% | — |
| OpenBookQA | 37.2% | — |
Multimodal Not comparable
Phi-1.5: —, Qwen2.5-VL 72B Instruct: 32.9 (#92)
| Benchmark | Phi-1.5 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Frequently asked questions
Is Phi-1.5 better than Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct has enough public results to be ranked (#298); Phi-1.5 does not yet, so treat this comparison as directional.
How many benchmarks do Phi-1.5 and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. Phi-1.5 has 7 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.