Model comparison
GPT-5.3 Chat vs phi-3-medium 14B
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where GPT-5.3 Chat leads 38.8 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 42.8 | 29.7 |
| Released | 2026-03-03 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 13 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), phi-3-medium 14B: 36.8 (#201)
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1408 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
GPT-5.3 Chat: 28.5 (#102), phi-3-medium 14B: —
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1399 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), phi-3-medium 14B: 27.3 (#250)
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1389 | — |
| MATH Level 5 | — | 17.6% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), phi-3-medium 14B: 9.1 (#306)
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1397 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
GPT-5.3 Chat: 50.3 (#124), phi-3-medium 14B: —
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1432 | — |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |
Instruction Following Not comparable
GPT-5.3 Chat: 72.8 (#129), phi-3-medium 14B: —
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1378 | — |
Long Context Not comparable
GPT-5.3 Chat: 42.6 (#120), phi-3-medium 14B: —
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1396 | — |
Writing & Preference Not comparable
GPT-5.3 Chat: 63.1 (#68), phi-3-medium 14B: —
| Benchmark | GPT-5.3 Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1389 | — |
| LMArena Creative Writing | 1355 | — |
| EQ-Bench Creative Writing | 1690 | — |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is GPT-5.3 Chat better than phi-3-medium 14B?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.7 on the Noometry Index.
Is GPT-5.3 Chat or phi-3-medium 14B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 36.8 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and phi-3-medium 14B share?
0 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and phi-3-medium 14B has 13.