Model comparison
phi-3-medium 14B vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 29.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. phi-3-medium 14B scores higher in 1 category and Qwen3.5 35B-A3B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.7 to 9.1.
- The biggest single-benchmark swing is GPQA Diamond: 27.6% for phi-3-medium 14B and 83.5% for Qwen3.5 35B-A3B.
Side by side
| phi-3-medium 14B | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 29.1 | 41.7 |
| Released | 2024-04-23 | 2026-02-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $2 |
| Results tracked | 13 | 28 |
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Category by category
Coding phi-3-medium 14B leads
phi-3-medium 14B: 36.3 (#198), Qwen3.5 35B-A3B: 33.5 (#244)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1410 |
| BigCodeBench Complete | 48.7% | — |
Reasoning Not comparable
phi-3-medium 14B: —, Qwen3.5 35B-A3B: 23.9 (#158)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| Epoch Capabilities Index | 121.18 | 142.52 |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| LMArena Hard Prompts | — | 1400 |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
| Adversarial NLI | 55.8% | — |
| BIG-Bench Hard | 81.4% | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |
Math Qwen3.5 35B-A3B leads
phi-3-medium 14B: 25.2 (#249), Qwen3.5 35B-A3B: 38.4 (#86)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| LMArena Math | — | 1404 |
| MATH Level 5 | 17.6% | — |
Knowledge Qwen3.5 35B-A3B leads
phi-3-medium 14B: 9.1 (#301), Qwen3.5 35B-A3B: 47.7 (#73)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | 27.6% | 83.5% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |
Multilingual Not comparable
phi-3-medium 14B: —, Qwen3.5 35B-A3B: 50.2 (#122)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | — | 1379 |
| LMArena Chinese | — | 1458 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1326 |
| LMArena Korean | — | 1354 |
| LMArena Russian | — | 1377 |
| LMArena Spanish | — | 1390 |
Instruction Following Not comparable
phi-3-medium 14B: —, Qwen3.5 35B-A3B: 73.0 (#123)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1379 |
Long Context Not comparable
phi-3-medium 14B: —, Qwen3.5 35B-A3B: 42.4 (#122)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | — | 1390 |
Writing & Preference Not comparable
phi-3-medium 14B: —, Qwen3.5 35B-A3B: 58.1 (#118)
| Benchmark | phi-3-medium 14B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | — | 1395 |
| LMArena Creative Writing | — | 1347 |
| LMArena Multi-Turn | — | 1391 |
Frequently asked questions
Is phi-3-medium 14B better than Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 29.1 on the Noometry Index.
Is phi-3-medium 14B or Qwen3.5 35B-A3B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 33.5 in the Noometry coding category.
How many benchmarks do phi-3-medium 14B and Qwen3.5 35B-A3B share?
2 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Qwen3.5 35B-A3B has 28.