Model comparison
phi-3-medium 14B vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 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 0 categories and Qwen3.5 397B-A17B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 9.1.
- The biggest single-benchmark swing is GPQA Diamond: 27.6% for phi-3-medium 14B and 86.4% for Qwen3.5 397B-A17B.
Side by side
| phi-3-medium 14B | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 29.1 | 45.7 |
| Released | 2024-04-23 | 2026-02-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 13 | 36 |
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Category by category
Coding Qwen3.5 397B-A17B leads
phi-3-medium 14B: 36.3 (#198), Qwen3.5 397B-A17B: 41.7 (#108)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena WebDev | — | 1400 |
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1464 |
| BigCodeBench Complete | 48.7% | — |
Agentic & Tool Use Not comparable
phi-3-medium 14B: —, Qwen3.5 397B-A17B: 33.2 (#51)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
Reasoning Not comparable
phi-3-medium 14B: —, Qwen3.5 397B-A17B: 33.6 (#62)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| Epoch Capabilities Index | 121.18 | 146.64 |
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| Chess Puzzles | — | 13% |
| Thematic Generalization | — | 65.1% |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LMCA | — | 37.9% |
| Adversarial NLI | 55.8% | — |
| BIG-Bench Hard | 81.4% | — |
| HellaSwag | 82.4% | — |
| WinoGrande | 81.5% | — |
Math Qwen3.5 397B-A17B leads
phi-3-medium 14B: 25.2 (#249), Qwen3.5 397B-A17B: 44.9 (#64)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| LMArena Math | — | 1455 |
| MATH Level 5 | 17.6% | — |
Knowledge Qwen3.5 397B-A17B leads
phi-3-medium 14B: 9.1 (#301), Qwen3.5 397B-A17B: 53.3 (#53)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | 27.6% | 86.4% |
| LMArena Expert | — | 1461 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |
Multimodal Not comparable
phi-3-medium 14B: —, Qwen3.5 397B-A17B: 40.0 (#42)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1262 |
Multilingual Not comparable
phi-3-medium 14B: —, Qwen3.5 397B-A17B: 54.0 (#56)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | — | 1431 |
| LMArena Chinese | — | 1501 |
| LMArena French | — | 1461 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1427 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1429 |
| LMArena Spanish | — | 1443 |
Instruction Following Not comparable
phi-3-medium 14B: —, Qwen3.5 397B-A17B: 75.2 (#73)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
phi-3-medium 14B: —, Qwen3.5 397B-A17B: 44.1 (#71)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference Not comparable
phi-3-medium 14B: —, Qwen3.5 397B-A17B: 62.5 (#74)
| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | — | 1438 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | — | 1478 |
| LMArena Multi-Turn | — | 1447 |
Frequently asked questions
Is phi-3-medium 14B better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 29.1 on the Noometry Index.
Is phi-3-medium 14B or Qwen3.5 397B-A17B better for coding?
Qwen3.5 397B-A17B scores higher on coding benchmarks: 41.7 versus 36.3 in the Noometry coding category.
How many benchmarks do phi-3-medium 14B and Qwen3.5 397B-A17B share?
2 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and Qwen3.5 397B-A17B has 36.