Model comparison
Llama-3.3-70B-Instruct vs phi-3-medium 14B
Llama-3.3-70B-Instruct and phi-3-medium 14B score almost the same on the Noometry Index (30.6 vs 29.7), so choose on price, context window or the category you care about most.
Last verified . 6 shared benchmarks.
Meta
MicrosoftSummary
- They share 6 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 1 category and phi-3-medium 14B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama-3.3-70B-Instruct leads 30.6 to 9.1.
- The biggest single-benchmark swing is MATH Level 5: 41.6% for Llama-3.3-70B-Instruct and 17.6% for phi-3-medium 14B.
Side by side
| Llama-3.3-70B-Instruct | phi-3-medium 14B | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 30.6 | 29.7 |
| Released | 2024-12-06 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.32 | — |
| Results tracked | 43 | 13 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding phi-3-medium 14B leads
Llama-3.3-70B-Instruct: 31.0 (#290), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | 46.9% | 37.6% |
| BigCodeBench Complete | 57.5% | 48.7% |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| LiveBench Coding | 36.6% | — |
| LMArena Coding | 1268 | — |
Agentic & Tool Use Not comparable
Llama-3.3-70B-Instruct: 25.8 (#105), phi-3-medium 14B: —
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Not comparable
Llama-3.3-70B-Instruct: 14.1 (#327), phi-3-medium 14B: —
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 127.33 | 121.23 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 58.6 | — |
| HellaSwag | — | 82.4% |
| LiveBench | 50.2% | — |
| WinoGrande | — | 81.5% |
Math phi-3-medium 14B leads
Llama-3.3-70B-Instruct: 15.3 (#298), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 41.6% | 17.6% |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| LMArena Math | 1267 | — |
Knowledge Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 30.6 (#226), phi-3-medium 14B: 9.1 (#306)
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 47.4% | 27.6% |
| MMLU | 86.3% | 78% |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |
| ARC (AI2) Challenge | — | 91.6% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
Llama-3.3-70B-Instruct: 39.9 (#220), phi-3-medium 14B: —
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1236 | — |
| LMArena Chinese | 1217 | — |
| LMArena French | 1281 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1150 | — |
| LMArena Korean | 1143 | — |
| LMArena Russian | 1252 | — |
| LMArena Spanish | 1270 | — |
Instruction Following Not comparable
Llama-3.3-70B-Instruct: 71.1 (#157), phi-3-medium 14B: —
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| LiveBench Instruction Following | 82.7% | — |
| LMArena Instruction Following | 1242 | — |
Long Context Not comparable
Llama-3.3-70B-Instruct: 26.4 (#295), phi-3-medium 14B: —
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1256 | — |
Writing & Preference Not comparable
Llama-3.3-70B-Instruct: 47.6 (#207), phi-3-medium 14B: —
| Benchmark | Llama-3.3-70B-Instruct | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1274 | — |
| LMArena Creative Writing | 1250 | — |
| LMArena Multi-Turn | 1280 | — |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than phi-3-medium 14B?
Llama-3.3-70B-Instruct and phi-3-medium 14B score almost the same on the Noometry Index (30.6 vs 29.7), so choose on price, context window or the category you care about most.
Is Llama-3.3-70B-Instruct or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama-3.3-70B-Instruct and phi-3-medium 14B share?
6 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and phi-3-medium 14B has 13.