Model comparison
GPT-5.4 nano vs phi-3-medium 14B
GPT-5.4 nano is the stronger model overall, scoring 41.9 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 nano 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 nano leads 41.9 to 9.1.
- The biggest single-benchmark swing is GPQA Diamond: 78.5% for GPT-5.4 nano 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 nano | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 41.9 | 29.7 |
| Released | 2026-03-17 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 13 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), phi-3-medium 14B: 36.8 (#201)
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1405 | — |
| BigCodeBench Complete | — | 48.7% |
| ALE-Bench | 1,005 | — |
Reasoning Not comparable
GPT-5.4 nano: 23.7 (#173), phi-3-medium 14B: —
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 145.81 | 121.23 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| LMArena Hard Prompts | 1381 | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 57.3 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), phi-3-medium 14B: 27.3 (#250)
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| LMArena Math | 1406 | — |
| MATH Level 5 | — | 17.6% |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.9 (#103), phi-3-medium 14B: 9.1 (#306)
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 78.5% | 27.6% |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
| LMArena Expert | 1396 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), phi-3-medium 14B: —
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual Not comparable
GPT-5.4 nano: 48.6 (#140), phi-3-medium 14B: —
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1392 | — |
| LMArena French | 1396 | — |
| LMArena German | 1367 | — |
| LMArena Japanese | 1343 | — |
| LMArena Korean | 1320 | — |
| LMArena Russian | 1363 | — |
| LMArena Spanish | 1371 | — |
Instruction Following Not comparable
GPT-5.4 nano: 71.9 (#144), phi-3-medium 14B: —
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1362 | — |
Long Context Not comparable
GPT-5.4 nano: 41.6 (#137), phi-3-medium 14B: —
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1366 | — |
Writing & Preference Not comparable
GPT-5.4 nano: 55.7 (#142), phi-3-medium 14B: —
| Benchmark | GPT-5.4 nano | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1372 | — |
| LMArena Creative Writing | 1314 | — |
| LMArena Multi-Turn | 1382 | — |
Frequently asked questions
Is GPT-5.4 nano better than phi-3-medium 14B?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 29.7 on the Noometry Index.
Is GPT-5.4 nano or phi-3-medium 14B better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 36.8 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and phi-3-medium 14B share?
2 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and phi-3-medium 14B has 13.