Model comparison
phi-3-medium 14B vs Qwen3.5 122B-A10B
Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5 122B-A10B leads 38.2 to 9.1.
Side by side
| phi-3-medium 14B | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 29.1 | 41.6 |
| Released | 2024-04-23 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 13 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.5 122B-A10B leads
phi-3-medium 14B: 36.3 (#198), Qwen3.5 122B-A10B: 38.8 (#155)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1436 |
| BigCodeBench Complete | 48.7% | — |
Reasoning Not comparable
phi-3-medium 14B: —, Qwen3.5 122B-A10B: 26.4 (#121)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| LMArena Hard Prompts | — | 1421 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
| Adversarial NLI | 55.8% | — |
| BIG-Bench Hard | 81.4% | — |
| Epoch Capabilities Index | 121.18 | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |
Math Qwen3.5 122B-A10B leads
phi-3-medium 14B: 25.2 (#249), Qwen3.5 122B-A10B: 36.4 (#114)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | — | 1432 |
| MATH Level 5 | 17.6% | — |
Knowledge Qwen3.5 122B-A10B leads
phi-3-medium 14B: 9.1 (#301), Qwen3.5 122B-A10B: 38.2 (#138)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| GPQA Diamond | 27.6% | — |
| Vectara Hallucination Rate | — | 11.2% |
| LMArena Expert | — | 1431 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |
Multimodal Not comparable
phi-3-medium 14B: —, Qwen3.5 122B-A10B: 39.0 (#52)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Not comparable
phi-3-medium 14B: —, Qwen3.5 122B-A10B: 51.8 (#101)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | — | 1400 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1442 |
| LMArena German | — | 1425 |
| LMArena Japanese | — | 1364 |
| LMArena Korean | — | 1353 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1423 |
Instruction Following Not comparable
phi-3-medium 14B: —, Qwen3.5 122B-A10B: 74.0 (#109)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | — | 1399 |
Long Context Not comparable
phi-3-medium 14B: —, Qwen3.5 122B-A10B: 43.0 (#105)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | — | 1410 |
Writing & Preference Not comparable
phi-3-medium 14B: —, Qwen3.5 122B-A10B: 60.2 (#98)
| Benchmark | phi-3-medium 14B | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1369 |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is phi-3-medium 14B better than Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 41.6 to 29.1 on the Noometry Index.
Is phi-3-medium 14B or Qwen3.5 122B-A10B better for coding?
Qwen3.5 122B-A10B scores higher on coding benchmarks: 38.8 versus 36.3 in the Noometry coding category.
How many benchmarks do phi-3-medium 14B and Qwen3.5 122B-A10B share?
0 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Qwen3.5 122B-A10B has 27.