Model comparison
GPT-5.4 mini vs phi-3-medium 14B
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 29.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
MicrosoftSummary
- They share 2 benchmarks with published results for both. GPT-5.4 mini scores higher in 3 categories and phi-3-medium 14B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 9.1.
- The biggest single-benchmark swing is GPQA Diamond: 86.9% for GPT-5.4 mini and 27.6% for phi-3-medium 14B.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 45.0 | 29.7 |
| Released | 2026-03-17 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $4.50 | — |
| Results tracked | 46 | 13 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), phi-3-medium 14B: 36.8 (#201)
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1438 | — |
| BigCodeBench Complete | — | 48.7% |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Not comparable
GPT-5.4 mini: 29.9 (#81), phi-3-medium 14B: —
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
Reasoning Not comparable
GPT-5.4 mini: 30.4 (#85), phi-3-medium 14B: —
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 148.84 | 121.23 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| LMArena Hard Prompts | 1424 | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 57 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), phi-3-medium 14B: 27.3 (#250)
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| LMArena Math | 1419 | — |
| MATH Level 5 | — | 17.6% |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), phi-3-medium 14B: 9.1 (#306)
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 86.9% | 27.6% |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1435 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), phi-3-medium 14B: —
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual Not comparable
GPT-5.4 mini: 51.9 (#96), phi-3-medium 14B: —
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1405 | — |
| LMArena Chinese | 1446 | — |
| LMArena French | 1440 | — |
| LMArena German | 1409 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1368 | — |
| LMArena Russian | 1417 | — |
| LMArena Spanish | 1405 | — |
Instruction Following Not comparable
GPT-5.4 mini: 74.1 (#102), phi-3-medium 14B: —
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
GPT-5.4 mini: 43.0 (#112), phi-3-medium 14B: —
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1407 | — |
Writing & Preference Not comparable
GPT-5.4 mini: 64.0 (#58), phi-3-medium 14B: —
| Benchmark | GPT-5.4 mini | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1412 | — |
| LMArena Creative Writing | 1370 | — |
| EQ-Bench Creative Writing | 1665 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is GPT-5.4 mini better than phi-3-medium 14B?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 29.7 on the Noometry Index.
Is GPT-5.4 mini or phi-3-medium 14B better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 36.8 in the Noometry coding category.
How many benchmarks do GPT-5.4 mini and phi-3-medium 14B share?
2 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and phi-3-medium 14B has 13.