Model comparison
Llama-3.3-70B-Instruct vs Phi 3 Mini 128k Instruct
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Meta
MicrosoftSummary
- They share 19 benchmarks with published results for both. Llama-3.3-70B-Instruct 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 Llama-3.3-70B-Instruct leads 47.8 to 27.3.
- The biggest single-benchmark swing is BigCodeBench Instruct: 46.9% for Llama-3.3-70B-Instruct and 29.6% for Phi 3 Mini 128k Instruct.
Side by side
| Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 30.3 | 29.1 |
| 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 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 30.6 (#284), Phi 3 Mini 128k Instruct: 28.3 (#307)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| BigCodeBench Instruct | 46.9% | 29.6% |
| LMArena Coding | 1268 | 1040 |
| BigCodeBench Complete | 57.5% | 40.6% |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| LiveBench Coding | 36.6% | — |
Agentic & Tool Use Not comparable
Llama-3.3-70B-Instruct: 25.6 (#100), Phi 3 Mini 128k Instruct: —
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Phi 3 Mini 128k Instruct leads
Llama-3.3-70B-Instruct: 13.7 (#325), Phi 3 Mini 128k Instruct: 18.7 (#254)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1028 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.32 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
Math Phi 3 Mini 128k Instruct leads
Llama-3.3-70B-Instruct: 14.3 (#292), Phi 3 Mini 128k Instruct: 29.2 (#220)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Math | 1268 | 1089 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |
Knowledge Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 30.5 (#220), Phi 3 Mini 128k Instruct: 26.3 (#251)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Expert | 1225 | 984 |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| MMLU | 86.3% | — |
Multilingual Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 40.1 (#215), Phi 3 Mini 128k Instruct: 25.4 (#280)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Non-English | 1236 | 1000 |
| LMArena Chinese | 1217 | 1016 |
| LMArena French | 1280 | 1038 |
| LMArena German | 1251 | 1006 |
| LMArena Japanese | 1149 | 899 |
| LMArena Korean | 1142 | 856 |
| LMArena Russian | 1252 | 1004 |
| LMArena Spanish | 1269 | 1058 |
Instruction Following Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 71.3 (#152), Phi 3 Mini 128k Instruct: 52.1 (#289)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Instruction Following | 1242 | 1023 |
| LiveBench Instruction Following | 82.7% | — |
Long Context Phi 3 Mini 128k Instruct leads
Llama-3.3-70B-Instruct: 26.4 (#290), Phi 3 Mini 128k Instruct: 30.3 (#284)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Longer Query | 1256 | 996 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 47.8 (#203), Phi 3 Mini 128k Instruct: 27.3 (#296)
| Benchmark | Llama-3.3-70B-Instruct | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Text | 1274 | 1050 |
| LMArena Creative Writing | 1250 | 1024 |
| LMArena Multi-Turn | 1279 | 989 |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Phi 3 Mini 128k Instruct?
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.
Is Llama-3.3-70B-Instruct or Phi 3 Mini 128k Instruct better for coding?
Llama-3.3-70B-Instruct scores higher on coding benchmarks: 30.6 versus 28.3 in the Noometry coding category.
How many benchmarks do Llama-3.3-70B-Instruct and Phi 3 Mini 128k Instruct share?
19 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Phi 3 Mini 128k Instruct has 19.