Model comparison
GPT-5-Codex vs phi-3-medium 14B
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 36.8.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 37.9 | 29.7 |
| Released | 2025-09-15 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 13 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), phi-3-medium 14B: 36.8 (#201)
| Benchmark | GPT-5-Codex | phi-3-medium 14B |
|---|---|---|
| WeirdML | 54.5% | — |
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 48.7% |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), phi-3-medium 14B: —
| Benchmark | GPT-5-Codex | phi-3-medium 14B |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning Not comparable
GPT-5-Codex: 30.9 (#83), phi-3-medium 14B: —
| Benchmark | GPT-5-Codex | phi-3-medium 14B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Not comparable
GPT-5-Codex: —, phi-3-medium 14B: 27.3 (#250)
| Benchmark | GPT-5-Codex | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | — | 17.6% |
Knowledge Not comparable
GPT-5-Codex: —, phi-3-medium 14B: 9.1 (#306)
| Benchmark | GPT-5-Codex | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Frequently asked questions
Is GPT-5-Codex better than phi-3-medium 14B?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.7 on the Noometry Index.
Is GPT-5-Codex or phi-3-medium 14B better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 36.8 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and phi-3-medium 14B share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and phi-3-medium 14B has 13.