Model comparison
GPT-5.2 Pro vs Phi 3 Mini 4k Instruct
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 27.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 26.6.
- Phi 3 Mini 4k Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 52.3 | 27.9 |
| Released | 2025-12-11 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $21 | — |
| Output $ / M tokens | $168 | — |
| Results tracked | 8 | 35 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| LiveBench Coding | — | 15.5% |
| LMArena Coding | — | 1093 |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 26.8% |
| LMArena Hard Prompts | — | 1072 |
| LiveBench Data Analysis | — | 34.7% |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | 155.4 | — |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| LiveBench Math | — | 15.7% |
| LMArena Math | — | 1111 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | — | 1045 |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multilingual Not comparable
GPT-5.2 Pro: —, Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | — | 1021 |
| LMArena Chinese | — | 1021 |
| LMArena French | — | 1076 |
| LMArena German | — | 1044 |
| LMArena Japanese | — | 935 |
| LMArena Korean | — | 905 |
| LMArena Russian | — | 1022 |
| LMArena Spanish | — | 1085 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| LiveBench Instruction Following | — | 39.1% |
| LMArena Instruction Following | — | 1053 |
Long Context Not comparable
GPT-5.2 Pro: —, Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | — | 1044 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | GPT-5.2 Pro | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | — | 1073 |
| LMArena Creative Writing | — | 1037 |
| LMArena Multi-Turn | — | 1018 |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is GPT-5.2 Pro better than Phi 3 Mini 4k Instruct?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 27.9 on the Noometry Index.
How many benchmarks do GPT-5.2 Pro and Phi 3 Mini 4k Instruct share?
0 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.