Model comparison
GPT-4.1 vs Phi 3 Small 8k Instruct
GPT-4.1 is the stronger model overall, scoring 35.9 to 29.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
MicrosoftSummary
- They share 17 benchmarks with published results for both. GPT-4.1 scores higher in 6 categories and Phi 3 Small 8k Instruct in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 leads 57.6 to 31.1.
- Phi 3 Small 8k Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 | Phi 3 Small 8k Instruct | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 35.9 | 29.3 |
| Released | 2025-04-14 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 52 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-4.1 leads
GPT-4.1: 34.4 (#238), Phi 3 Small 8k Instruct: 27.9 (#318)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Coding | 1391 | 1101 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| LiveBench Coding | — | 20.3% |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use Not comparable
GPT-4.1: 34.7 (#43), Phi 3 Small 8k Instruct: —
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
Reasoning Phi 3 Small 8k Instruct leads
GPT-4.1: 11.7 (#339), Phi 3 Small 8k Instruct: 14.8 (#323)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1100 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| LiveBench Reasoning | — | 15.9% |
| DTBench | 68.3% | — |
| LiveBench Data Analysis | — | 30.3% |
| LMCA | 25.6% | — |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 79.1% |
| Epoch Capabilities Index | 136.78 | — |
| ForecastBench | 61.5 | — |
| HellaSwag | — | 77% |
| LiveBench | — | 24% |
| WinoGrande | — | 81.5% |
Math Phi 3 Small 8k Instruct leads
GPT-4.1: 22.3 (#280), Phi 3 Small 8k Instruct: 27.6 (#248)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Math | 1370 | 1151 |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| Omni-MATH | 47.1% | — |
| LiveBench Math | — | 17.6% |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-4.1 leads
GPT-4.1: 37.1 (#160), Phi 3 Small 8k Instruct: 29.1 (#240)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Expert | 1364 | 1067 |
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
| ARC (AI2) Challenge | — | 90.7% |
| MMLU | — | 75.7% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 58.1% |
Multimodal Not comparable
GPT-4.1: 38.2 (#67), Phi 3 Small 8k Instruct: —
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 72% | — |
Multilingual GPT-4.1 leads
GPT-4.1: 49.4 (#133), Phi 3 Small 8k Instruct: 28.5 (#272)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Non-English | 1370 | 1058 |
| LMArena Chinese | 1382 | 1061 |
| LMArena French | 1382 | 1135 |
| LMArena German | 1381 | 1080 |
| LMArena Japanese | 1319 | 966 |
| LMArena Korean | 1339 | 894 |
| LMArena Russian | 1377 | 1111 |
| LMArena Spanish | 1376 | 1111 |
Instruction Following GPT-4.1 leads
GPT-4.1: 71.3 (#153), Phi 3 Small 8k Instruct: 51.9 (#292)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Instruction Following | 1367 | 1087 |
| LiveBench Instruction Following | — | 47.2% |
| IFEval | 83.8% | — |
Long Context GPT-4.1 leads
GPT-4.1: 40.0 (#163), Phi 3 Small 8k Instruct: 33.0 (#267)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Longer Query | 1385 | 1088 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.6 (#125), Phi 3 Small 8k Instruct: 31.1 (#284)
| Benchmark | GPT-4.1 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Text | 1383 | 1110 |
| LMArena Creative Writing | 1363 | 1083 |
| LMArena Multi-Turn | 1398 | 1068 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
| LiveBench Language | — | 12.9% |
Frequently asked questions
Is GPT-4.1 better than Phi 3 Small 8k Instruct?
GPT-4.1 is the stronger model overall, scoring 35.9 to 29.3 on the Noometry Index.
Is GPT-4.1 or Phi 3 Small 8k Instruct better for coding?
GPT-4.1 scores higher on coding benchmarks: 34.4 versus 27.9 in the Noometry coding category.
How many benchmarks do GPT-4.1 and Phi 3 Small 8k Instruct share?
17 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Phi 3 Small 8k Instruct has 32.