Model comparison
GPT-3.5-turbo vs Phi 3 Mini 128k Instruct
Phi 3 Mini 128k Instruct is the stronger model overall, scoring 29.1 to 23.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
MicrosoftSummary
- They share 19 benchmarks with published results for both. GPT-3.5-turbo scores higher in 3 categories and Phi 3 Mini 128k Instruct in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Phi 3 Mini 128k Instruct leads 29.2 to 6.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 50.6% for GPT-3.5-turbo and 40.6% for Phi 3 Mini 128k Instruct.
- Phi 3 Mini 128k Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Phi 3 Mini 128k Instruct | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 23.1 | 29.1 |
| Released | 2023-03-01 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Phi 3 Mini 128k Instruct leads
GPT-3.5-turbo: 23.5 (#326), Phi 3 Mini 128k Instruct: 28.3 (#307)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| BigCodeBench Instruct | 39.1% | 29.6% |
| LMArena Coding | 1137 | 1040 |
| BigCodeBench Complete | 50.6% | 40.6% |
| WeirdML | 3.5% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Phi 3 Mini 128k Instruct: —
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Phi 3 Mini 128k Instruct leads
GPT-3.5-turbo: 13.3 (#328), Phi 3 Mini 128k Instruct: 18.7 (#254)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1028 |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| Epoch Capabilities Index | 118.48 | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Phi 3 Mini 128k Instruct leads
GPT-3.5-turbo: 6.0 (#321), Phi 3 Mini 128k Instruct: 29.2 (#220)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Math | 1142 | 1089 |
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Phi 3 Mini 128k Instruct leads
GPT-3.5-turbo: 10.0 (#298), Phi 3 Mini 128k Instruct: 26.3 (#251)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Expert | 1070 | 984 |
| GPQA Diamond | 28% | — |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual GPT-3.5-turbo leads
GPT-3.5-turbo: 31.6 (#253), Phi 3 Mini 128k Instruct: 25.4 (#280)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Non-English | 1108 | 1000 |
| LMArena Chinese | 1075 | 1016 |
| LMArena French | 1117 | 1038 |
| LMArena German | 1090 | 1006 |
| LMArena Japanese | 1043 | 899 |
| LMArena Korean | 1019 | 856 |
| LMArena Russian | 1123 | 1004 |
| LMArena Spanish | 1120 | 1058 |
Instruction Following GPT-3.5-turbo leads
GPT-3.5-turbo: 58.1 (#257), Phi 3 Mini 128k Instruct: 52.1 (#289)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Instruction Following | 1119 | 1023 |
Long Context GPT-3.5-turbo leads
GPT-3.5-turbo: 34.0 (#249), Phi 3 Mini 128k Instruct: 30.3 (#284)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Longer Query | 1121 | 996 |
Writing & Preference Phi 3 Mini 128k Instruct leads
GPT-3.5-turbo: 25.4 (#300), Phi 3 Mini 128k Instruct: 27.3 (#296)
| Benchmark | GPT-3.5-turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Text | 1125 | 1050 |
| LMArena Creative Writing | 1092 | 1024 |
| LMArena Multi-Turn | 1117 | 989 |
| EQ-Bench Creative Writing | 451 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Phi 3 Mini 128k Instruct?
Phi 3 Mini 128k Instruct is the stronger model overall, scoring 29.1 to 23.1 on the Noometry Index.
Is GPT-3.5-turbo or Phi 3 Mini 128k Instruct better for coding?
Phi 3 Mini 128k Instruct scores higher on coding benchmarks: 28.3 versus 23.5 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Phi 3 Mini 128k Instruct share?
19 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Phi 3 Mini 128k Instruct has 19.