Model comparison
GPT-4 Turbo vs Phi 3 Mini 128k Instruct
GPT-4 Turbo is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GPT-4 Turbo scores higher in 5 categories and Phi 3 Mini 128k Instruct in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4 Turbo leads 47.9 to 27.3.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.2% for GPT-4 Turbo and 29.6% for Phi 3 Mini 128k Instruct.
- Phi 3 Mini 128k Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | Phi 3 Mini 128k Instruct | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 30.3 | 29.1 |
| Released | 2023-11-06 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 19 |
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Category by category
Coding GPT-4 Turbo leads
GPT-4 Turbo: 33.4 (#247), Phi 3 Mini 128k Instruct: 28.3 (#307)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| BigCodeBench Instruct | 48.2% | 29.6% |
| LMArena Coding | 1268 | 1040 |
| BigCodeBench Complete | 58.2% | 40.6% |
| WeirdML | 18% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Phi 3 Mini 128k Instruct: —
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Phi 3 Mini 128k Instruct leads
GPT-4 Turbo: 14.9 (#311), Phi 3 Mini 128k Instruct: 18.7 (#254)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1028 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Phi 3 Mini 128k Instruct leads
GPT-4 Turbo: 8.6 (#316), Phi 3 Mini 128k Instruct: 29.2 (#220)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Math | 1272 | 1089 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| MATH Level 5 | 46.7% | — |
Knowledge Phi 3 Mini 128k Instruct leads
GPT-4 Turbo: 24.3 (#263), Phi 3 Mini 128k Instruct: 26.3 (#251)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Expert | 1223 | 984 |
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.0 (#104), Phi 3 Mini 128k Instruct: —
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual GPT-4 Turbo leads
GPT-4 Turbo: 40.7 (#211), Phi 3 Mini 128k Instruct: 25.4 (#280)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Non-English | 1245 | 1000 |
| LMArena Chinese | 1242 | 1016 |
| LMArena French | 1275 | 1038 |
| LMArena German | 1259 | 1006 |
| LMArena Japanese | 1194 | 899 |
| LMArena Korean | 1187 | 856 |
| LMArena Russian | 1259 | 1004 |
| LMArena Spanish | 1260 | 1058 |
Instruction Following GPT-4 Turbo leads
GPT-4 Turbo: 66.0 (#211), Phi 3 Mini 128k Instruct: 52.1 (#289)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Instruction Following | 1250 | 1023 |
Long Context GPT-4 Turbo leads
GPT-4 Turbo: 38.0 (#200), Phi 3 Mini 128k Instruct: 30.3 (#284)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Longer Query | 1254 | 996 |
Writing & Preference GPT-4 Turbo leads
GPT-4 Turbo: 47.9 (#201), Phi 3 Mini 128k Instruct: 27.3 (#296)
| Benchmark | GPT-4 Turbo | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Text | 1272 | 1050 |
| LMArena Creative Writing | 1269 | 1024 |
| LMArena Multi-Turn | 1267 | 989 |
Frequently asked questions
Is GPT-4 Turbo better than Phi 3 Mini 128k Instruct?
GPT-4 Turbo is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.
Is GPT-4 Turbo or Phi 3 Mini 128k Instruct better for coding?
GPT-4 Turbo scores higher on coding benchmarks: 33.4 versus 28.3 in the Noometry coding category.
How many benchmarks do GPT-4 Turbo and Phi 3 Mini 128k Instruct share?
19 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Phi 3 Mini 128k Instruct has 19.