# phi-3-medium 14B vs Qwen3.5 397B-A17B

> Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/phi-3-medium-14b-vs-qwen3-5-397b-a17b
- Last updated: 2026-10-12
- Shared benchmarks: 2

## 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.

## Snapshot

| | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 29.7 | 46.0 |
| Rank | 306 | 67 |
| Context | — | 262K |
| Input $/M | — | $0.60 |
| Output $/M | — | $3.60 |
| Weights | Open | Open |

## Coding

- phi-3-medium 14B: 36.8 (#201)
- Qwen3.5 397B-A17B: 42.0 (#114)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena WebDev | — | 1400 |
| BigCodeBench Instruct | 37.6% | — |
| LMArena Coding | — | 1465 |
| BigCodeBench Complete | 48.7% | — |

## Agentic & Tool Use

- phi-3-medium 14B: —
- Qwen3.5 397B-A17B: 33.3 (#53)

| 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

- phi-3-medium 14B: —
- Qwen3.5 397B-A17B: 34.5 (#70)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| Epoch Capabilities Index | 121.23 | 146.65 |
| 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

- phi-3-medium 14B: 27.3 (#250)
- Qwen3.5 397B-A17B: 46.1 (#73)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| LMArena Math | — | 1454 |
| MATH Level 5 | 17.6% | — |

## Knowledge

- phi-3-medium 14B: 9.1 (#306)
- Qwen3.5 397B-A17B: 53.3 (#58)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | 27.6% | 86.4% |
| LMArena Expert | — | 1462 |
| ARC (AI2) Challenge | 91.6% | — |
| MMLU | 78% | — |
| OpenBookQA | 87.4% | — |
| TriviaQA | 73.9% | — |

## Multimodal

- phi-3-medium 14B: —
- Qwen3.5 397B-A17B: 40.7 (#44)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1263 |

## Multilingual

- phi-3-medium 14B: —
- Qwen3.5 397B-A17B: 53.7 (#59)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1500 |
| LMArena French | — | 1461 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1426 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1429 |
| LMArena Spanish | — | 1441 |

## Instruction Following

- phi-3-medium 14B: —
- Qwen3.5 397B-A17B: 75.0 (#77)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | — | 1424 |

## Long Context

- phi-3-medium 14B: —
- Qwen3.5 397B-A17B: 44.1 (#74)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | — | 1442 |

## Writing & Preference

- phi-3-medium 14B: —
- Qwen3.5 397B-A17B: 62.3 (#79)

| Benchmark | phi-3-medium 14B | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | — | 1438 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | — | 1478 |
| LMArena Multi-Turn | — | 1446 |

## FAQ

### Is phi-3-medium 14B better than Qwen3.5 397B-A17B?

Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 29.7 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: 42.0 versus 36.8 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.