Model comparison
Phi-2 vs Qwen2.5 72B Instruct
Qwen2.5 72B Instruct has enough public results to be ranked (#259); Phi-2 does not yet, so treat this comparison as directional.
Last verified . 7 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- They share 7 benchmarks with published results for both.
Side by side
| Phi-2 | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | — | 31.5 |
| Released | 2023-12-12 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 11 | 43 |
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Category by category
Coding Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 32.8 (#256)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| LMArena Coding | — | 1293 |
| BigCodeBench Complete | — | 55.9% |
| HumanEval+ | 45.1% | — |
| MBPP+ | 54.2% | — |
Agentic & Tool Use Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 22.0 (#124)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 21.4 (#197)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| BIG-Bench Hard | 59.4% | 79.8% |
| Epoch Capabilities Index | 107.62 | 129.01 |
| HellaSwag | 53.6% | 84.8% |
| WinoGrande | 54.7% | 82.3% |
| LMArena Hard Prompts | — | 1271 |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| Adversarial NLI | 42.5% | — |
| ForecastBench | — | 57.5 |
| PIQA | — | 82.6% |
Math Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 18.1 (#281)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | — | 33% |
| LMArena Math | — | 1283 |
| MATH Level 5 | — | 63.2% |
Knowledge Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 26.9 (#247)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| ARC (AI2) Challenge | 75.9% | 94.5% |
| MMLU | 58.4% | 85.3% |
| TriviaQA | 45.2% | 71.9% |
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1245 |
| OpenBookQA | 73.6% | — |
Multilingual Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 41.2 (#208)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | — | 1252 |
| LMArena Chinese | — | 1272 |
| LMArena French | — | 1279 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
| LMArena Russian | — | 1264 |
| LMArena Spanish | — | 1255 |
Instruction Following Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 65.7 (#216)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | — | 80.6% |
| LMArena Instruction Following | — | 1254 |
Long Context Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 38.9 (#183)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1282 |
Writing & Preference Not comparable
Phi-2: —, Qwen2.5 72B Instruct: 46.9 (#210)
| Benchmark | Phi-2 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | — | 1269 |
| LMArena Creative Writing | — | 1221 |
| WildBench | — | 80.2% |
| LMArena Multi-Turn | — | 1272 |
Frequently asked questions
Is Phi-2 better than Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct has enough public results to be ranked (#259); Phi-2 does not yet, so treat this comparison as directional.
How many benchmarks do Phi-2 and Qwen2.5 72B Instruct share?
7 benchmarks have published results for both models. Phi-2 has 11 scored results on Noometry and Qwen2.5 72B Instruct has 43.