Model comparison
Phi 3 Mini 4k Instruct vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 27.9 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Phi 3 Mini 4k Instruct scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5-Max leads 55.4 to 27.6.
- The biggest single-benchmark swing is LiveBench Coding: 15.5% for Phi 3 Mini 4k Instruct and 64.4% for Qwen2.5-Max.
- Phi 3 Mini 4k Instruct has downloadable open weights; the other is API-only.
Side by side
| Phi 3 Mini 4k Instruct | Qwen2.5-Max | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 27.9 | 40.7 |
| Released | 2024-04-23 | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 35 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 26.6 (#323), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LiveBench Coding | 15.5% | 64.4% |
| LMArena Coding | 1093 | 1359 |
| HumanEval+ | 59.1% | — |
| MBPP+ | 54.2% | — |
Reasoning Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 14.1 (#328), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LiveBench Reasoning | 26.8% | 51.4% |
| LMArena Hard Prompts | 1072 | 1360 |
| LiveBench Data Analysis | 34.7% | 67.9% |
| LiveBench | 22.4% | 62.3% |
| Chess Puzzles | 0% | — |
| Adversarial NLI | 52.8% | — |
| BIG-Bench Hard | 71.7% | — |
| Epoch Capabilities Index | — | 132.53 |
| HellaSwag | 76.7% | — |
| WinoGrande | 70.8% | — |
Math Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 26.6 (#257), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LiveBench Math | 15.7% | 58.4% |
| LMArena Math | 1111 | 1369 |
Knowledge Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 28.5 (#246), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1045 | 1337 |
| Confabulations | — | 21.8% |
| ARC (AI2) Challenge | 84.9% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 88% | — |
| TriviaQA | 64% | — |
Multilingual Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 26.3 (#280), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1021 | 1352 |
| LMArena Chinese | 1021 | 1382 |
| LMArena French | 1076 | 1396 |
| LMArena German | 1044 | 1350 |
| LMArena Japanese | 935 | 1300 |
| LMArena Korean | 905 | 1304 |
| LMArena Russian | 1022 | 1353 |
| LMArena Spanish | 1085 | 1377 |
Instruction Following Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 47.7 (#303), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | 39.1% | 75.3% |
| LMArena Instruction Following | 1053 | 1335 |
Long Context Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 31.7 (#276), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1044 | 1358 |
Writing & Preference Qwen2.5-Max leads
Phi 3 Mini 4k Instruct: 27.6 (#300), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1073 | 1367 |
| LMArena Creative Writing | 1037 | 1339 |
| LMArena Multi-Turn | 1018 | 1364 |
| LiveBench Language | 9.2% | 56.3% |
| Short-Story Creative Writing | — | 72.9% |
Frequently asked questions
Is Phi 3 Mini 4k Instruct better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 27.9 on the Noometry Index.
Is Phi 3 Mini 4k Instruct or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 26.6 in the Noometry coding category.
How many benchmarks do Phi 3 Mini 4k Instruct and Qwen2.5-Max share?
24 benchmarks have published results for both models. Phi 3 Mini 4k Instruct has 35 scored results on Noometry and Qwen2.5-Max has 27.