Model comparison
Phi 3 Medium 4k Instruct vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.5 to 33.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 30.2.
Side by side
| Phi 3 Medium 4k Instruct | Qwen3 14B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 33.0 | 35.5 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 17 | 12 |
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Category by category
Coding Qwen3 14B leads
Phi 3 Medium 4k Instruct: 32.9 (#268), Qwen3 14B: 37.3 (#195)
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1130 | — |
Agentic & Tool Use Not comparable
Phi 3 Medium 4k Instruct: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Phi 3 Medium 4k Instruct leads
Phi 3 Medium 4k Instruct: 21.7 (#214), Qwen3 14B: 18.5 (#280)
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1127 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Qwen3 14B leads
Phi 3 Medium 4k Instruct: 33.4 (#202), Qwen3 14B: 38.6 (#133)
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1173 | — |
Knowledge Qwen3 14B leads
Phi 3 Medium 4k Instruct: 30.2 (#229), Qwen3 14B: 39.3 (#134)
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1108 | — |
Multilingual Not comparable
Phi 3 Medium 4k Instruct: 30.6 (#263), Qwen3 14B: —
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1094 | — |
| LMArena Chinese | 1108 | — |
| LMArena French | 1110 | — |
| LMArena German | 1101 | — |
| LMArena Japanese | 1042 | — |
| LMArena Korean | 954 | — |
| LMArena Russian | 1145 | — |
| LMArena Spanish | 1095 | — |
Instruction Following Not comparable
Phi 3 Medium 4k Instruct: 57.6 (#268), Qwen3 14B: —
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1113 | — |
Long Context Qwen3 14B leads
Phi 3 Medium 4k Instruct: 34.0 (#255), Qwen3 14B: 38.1 (#204)
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1120 | — |
Writing & Preference Not comparable
Phi 3 Medium 4k Instruct: 34.1 (#272), Qwen3 14B: —
| Benchmark | Phi 3 Medium 4k Instruct | Qwen3 14B |
|---|---|---|
| LMArena Text | 1138 | — |
| LMArena Creative Writing | 1107 | — |
| LMArena Multi-Turn | 1088 | — |
Frequently asked questions
Is Phi 3 Medium 4k Instruct better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.5 to 33.0 on the Noometry Index.
Is Phi 3 Medium 4k Instruct or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 32.9 in the Noometry coding category.
How many benchmarks do Phi 3 Medium 4k Instruct and Qwen3 14B share?
0 benchmarks have published results for both models. Phi 3 Medium 4k Instruct has 17 scored results on Noometry and Qwen3 14B has 12.