Model comparison
Phi-4 vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 31.2 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Phi-4 scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5-Max leads 36.9 to 20.8.
- The biggest single-benchmark swing is LiveBench Coding: 30.7% for Phi-4 and 64.4% for Qwen2.5-Max.
- Phi-4 has downloadable open weights; the other is API-only.
Side by side
| Phi-4 | Qwen2.5-Max | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 31.2 | 40.7 |
| Released | 2024-12-11 | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.07 | — |
| Output $ / M tokens | $0.14 | — |
| Results tracked | 37 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Phi-4: 34.4 (#239), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| LiveBench Coding | 30.7% | 64.4% |
| LMArena Coding | 1231 | 1359 |
| BigCodeBench Instruct | 45.5% | — |
| BigCodeBench Complete | 55.4% | — |
Agentic & Tool Use Not comparable
Phi-4: 22.8 (#128), Qwen2.5-Max: —
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.8% | — |
| BALROG | 11.6% | — |
Reasoning Qwen2.5-Max leads
Phi-4: 17.7 (#291), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| LiveBench Reasoning | 47.8% | 51.4% |
| LMArena Hard Prompts | 1220 | 1360 |
| LiveBench Data Analysis | 45.2% | 67.9% |
| Epoch Capabilities Index | 130.42 | 132.53 |
| LiveBench | 41.6% | 62.3% |
| Chess Puzzles | 1% | — |
Math Qwen2.5-Max leads
Phi-4: 20.8 (#285), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| LiveBench Math | 42% | 58.4% |
| LMArena Math | 1246 | 1369 |
| OTIS Mock AIME 2024-2025 | 13.8% | — |
| MATH Level 5 | 64.9% | — |
Knowledge Qwen2.5-Max leads
Phi-4: 32.6 (#209), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| Confabulations | 29.4% | 21.8% |
| LMArena Expert | 1203 | 1337 |
| GPQA Diamond | 56.1% | — |
| Vectara Hallucination Rate | 3.7% | — |
| MMLU | 84.8% | — |
Multilingual Qwen2.5-Max leads
Phi-4: 37.2 (#237), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1197 | 1352 |
| LMArena Chinese | 1212 | 1382 |
| LMArena French | 1224 | 1396 |
| LMArena German | 1222 | 1350 |
| LMArena Japanese | 1158 | 1300 |
| LMArena Korean | 1151 | 1304 |
| LMArena Russian | 1209 | 1353 |
| LMArena Spanish | 1234 | 1377 |
Instruction Following Qwen2.5-Max leads
Phi-4: 60.4 (#251), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | 58.4% | 75.3% |
| LMArena Instruction Following | 1201 | 1335 |
Long Context Qwen2.5-Max leads
Phi-4: 36.9 (#226), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1217 | 1358 |
Writing & Preference Qwen2.5-Max leads
Phi-4: 40.5 (#244), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Phi-4 | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1217 | 1367 |
| LMArena Creative Writing | 1182 | 1339 |
| Short-Story Creative Writing | 62.6% | 72.9% |
| LMArena Multi-Turn | 1206 | 1364 |
| LiveBench Language | 25.6% | 56.3% |
Frequently asked questions
Is Phi-4 better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 31.2 on the Noometry Index.
Is Phi-4 or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 34.4 in the Noometry coding category.
How many benchmarks do Phi-4 and Qwen2.5-Max share?
27 benchmarks have published results for both models. Phi-4 has 37 scored results on Noometry and Qwen2.5-Max has 27.