Model comparison
Phi-4 Mini vs StarCoder 2 15B
Phi-4 Mini has enough public results to be ranked (#280); StarCoder 2 15B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Microsoft
NVIDIASummary
- The widest gap is in coding, where StarCoder 2 15B leads 36.0 to 27.6.
Side by side
| Phi-4 Mini | StarCoder 2 15B | |
|---|---|---|
| Provider | Microsoft | NVIDIA |
| Noometry Index | 30.4 | 37.5 |
| Released | 2024-12-11 | 2024-02-20 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.075 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 3 | 7 |
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Category by category
Coding StarCoder 2 15B leads
Phi-4 Mini: 27.6 (#312), StarCoder 2 15B: 36.0
| Benchmark | Phi-4 Mini | StarCoder 2 15B |
|---|---|---|
| SciCode | 10.8% | — |
| BigCodeBench Complete | — | 38.4% |
| HumanEval+ | — | 37.8% |
Reasoning Not comparable
Phi-4 Mini: 21.7 (#190), StarCoder 2 15B: —
| Benchmark | Phi-4 Mini | StarCoder 2 15B |
|---|---|---|
| CritPt | 0% | — |
| Epoch Capabilities Index | — | 104.61 |
| WinoGrande | — | 64.3% |
Math Not comparable
Phi-4 Mini: —, StarCoder 2 15B: —
| Benchmark | Phi-4 Mini | StarCoder 2 15B |
|---|---|---|
| GSM8K | — | 57.7% |
Knowledge Not comparable
Phi-4 Mini: 24.8 (#261), StarCoder 2 15B: —
| Benchmark | Phi-4 Mini | StarCoder 2 15B |
|---|---|---|
| Vectara Hallucination Rate | 23.5% | — |
| ARC (AI2) Challenge | — | 47.2% |
| MMLU | — | 64.1% |
Frequently asked questions
Is Phi-4 Mini better than StarCoder 2 15B?
Phi-4 Mini has enough public results to be ranked (#280); StarCoder 2 15B does not yet, so treat this comparison as directional.
Is Phi-4 Mini or StarCoder 2 15B better for coding?
StarCoder 2 15B scores higher on coding benchmarks: 36.0 versus 27.6 in the Noometry coding category.
How many benchmarks do Phi-4 Mini and StarCoder 2 15B share?
0 benchmarks have published results for both models. Phi-4 Mini has 3 scored results on Noometry and StarCoder 2 15B has 7.