Model comparison
GPT-5.5 Pro vs Phi-4
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 31.2 on the Noometry Index. Phi-4 costs 771× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
MicrosoftSummary
- They share 4 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Phi-4 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 13.8% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 128K.
- Phi-4 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Phi-4 | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 64.3 | 31.2 |
| Released | 2026-04-23 | 2024-12-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 128K | 4K |
| Input $ / M tokens | $30 | $0.07 |
| Output $ / M tokens | $180 | $0.14 |
| Results tracked | 14 | 37 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Phi-4: 34.4 (#239)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| LMArena Coding | — | 1231 |
| BigCodeBench Complete | — | 55.4% |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, Phi-4: 22.8 (#128)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Phi-4: 17.7 (#291)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| Chess Puzzles | 64% | 1% |
| Epoch Capabilities Index | 162.07 | 130.42 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| LiveBench Reasoning | — | 47.8% |
| LMArena Hard Prompts | — | 1220 |
| DTBench | 96% | — |
| LiveBench Data Analysis | — | 45.2% |
| LMCA | 53.9% | — |
| LiveBench | — | 41.6% |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Phi-4: 20.8 (#285)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 13.8% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| LiveBench Math | — | 42% |
| LMArena Math | — | 1246 |
| MATH Level 5 | — | 64.9% |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Phi-4: 32.6 (#209)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| GPQA Diamond | 93.9% | 56.1% |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| LMArena Expert | — | 1203 |
| MMLU | — | 84.8% |
Multilingual Not comparable
GPT-5.5 Pro: —, Phi-4: 37.2 (#237)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| LMArena Non-English | — | 1197 |
| LMArena Chinese | — | 1212 |
| LMArena French | — | 1224 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
| LMArena Russian | — | 1209 |
| LMArena Spanish | — | 1234 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Phi-4: 60.4 (#251)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| LiveBench Instruction Following | — | 58.4% |
| LMArena Instruction Following | — | 1201 |
Long Context Not comparable
GPT-5.5 Pro: —, Phi-4: 36.9 (#226)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| LMArena Longer Query | — | 1217 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Phi-4: 40.5 (#244)
| Benchmark | GPT-5.5 Pro | Phi-4 |
|---|---|---|
| LMArena Text | — | 1217 |
| LMArena Creative Writing | — | 1182 |
| Short-Story Creative Writing | — | 62.6% |
| LMArena Multi-Turn | — | 1206 |
| LiveBench Language | — | 25.6% |
Frequently asked questions
Is GPT-5.5 Pro better than Phi-4?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 31.2 on the Noometry Index. Phi-4 costs 771× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro or Phi-4?
Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do GPT-5.5 Pro and Phi-4 share?
4 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Phi-4 has 37.