Model comparison
GPT-5.3 Codex vs Phi-4 Mini
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 30.4 on the Noometry Index. Phi-4 Mini costs 37× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 27.6.
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 128K.
- Phi-4 Mini has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Phi-4 Mini | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 45.5 | 30.4 |
| Released | 2026-02-05 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 4K |
| Input $ / M tokens | $1.75 | $0.075 |
| Output $ / M tokens | $14 | $0.30 |
| Results tracked | 8 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.5 (#51), Phi-4 Mini: 27.6 (#312)
| Benchmark | GPT-5.3 Codex | Phi-4 Mini |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| SciCode | — | 10.8% |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 47.8 (#9), Phi-4 Mini: —
| Benchmark | GPT-5.3 Codex | Phi-4 Mini |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Phi-4 Mini: 21.7 (#190)
| Benchmark | GPT-5.3 Codex | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| Epoch Capabilities Index | 156.84 | — |
Knowledge Not comparable
GPT-5.3 Codex: —, Phi-4 Mini: 24.8 (#261)
| Benchmark | GPT-5.3 Codex | Phi-4 Mini |
|---|---|---|
| Vectara Hallucination Rate | — | 23.5% |
Frequently asked questions
Is GPT-5.3 Codex better than Phi-4 Mini?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 30.4 on the Noometry Index. Phi-4 Mini costs 37× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Codex or Phi-4 Mini?
Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GPT-5.3 Codex or Phi-4 Mini better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 27.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 128K.
How many benchmarks do GPT-5.3 Codex and Phi-4 Mini share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Phi-4 Mini has 3.