Model comparison
Llama-3.3-70B-Instruct vs Phi-3.5-MoE
Llama-3.3-70B-Instruct has enough public results to be ranked (#291); Phi-3.5-MoE does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Meta
MicrosoftSide by side
| Llama-3.3-70B-Instruct | Phi-3.5-MoE | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 30.6 | — |
| Released | 2024-12-06 | 2024-08-17 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.32 | — |
| Results tracked | 43 | 3 |
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Category by category
Coding Not comparable
Llama-3.3-70B-Instruct: 31.0 (#290), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| LMArena Coding | 1268 | — |
| BigCodeBench Complete | 57.5% | — |
Agentic & Tool Use Not comparable
Llama-3.3-70B-Instruct: 25.8 (#105), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Not comparable
Llama-3.3-70B-Instruct: 14.1 (#327), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.33 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
| PIQA | — | 88.6% |
Math Not comparable
Llama-3.3-70B-Instruct: 15.3 (#298), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| LMArena Math | 1267 | — |
| MATH Level 5 | 41.6% | — |
| GSM8K | — | 88.7% |
Knowledge Not comparable
Llama-3.3-70B-Instruct: 30.6 (#226), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |
| BoolQ | — | 84.6% |
| MMLU | 86.3% | — |
Multilingual Not comparable
Llama-3.3-70B-Instruct: 39.9 (#220), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| 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-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| LiveBench Instruction Following | 82.7% | — |
| LMArena Instruction Following | 1242 | — |
Long Context Not comparable
Llama-3.3-70B-Instruct: 26.4 (#295), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1256 | — |
Writing & Preference Not comparable
Llama-3.3-70B-Instruct: 47.6 (#207), Phi-3.5-MoE: —
| Benchmark | Llama-3.3-70B-Instruct | Phi-3.5-MoE |
|---|---|---|
| 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-3.5-MoE?
Llama-3.3-70B-Instruct has enough public results to be ranked (#291); Phi-3.5-MoE does not yet, so treat this comparison as directional.
How many benchmarks do Llama-3.3-70B-Instruct and Phi-3.5-MoE share?
0 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Phi-3.5-MoE has 3.