Model comparison
Gemini Advanced 0514 vs Phi 3 Small 8k Instruct
Gemini Advanced 0514 is the stronger model overall, scoring 37.7 to 29.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Gemini Advanced 0514 scores higher in 8 categories and Phi 3 Small 8k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini Advanced 0514 leads 48.5 to 31.1.
- Phi 3 Small 8k Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini Advanced 0514 | Phi 3 Small 8k Instruct | |
|---|---|---|
| Provider | Microsoft | |
| Noometry Index | 37.7 | 29.3 |
| Released | — | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 32 |
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Category by category
Coding Gemini Advanced 0514 leads
Gemini Advanced 0514: 36.6 (#205), Phi 3 Small 8k Instruct: 27.9 (#318)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Coding | 1255 | 1101 |
| LiveBench Coding | — | 20.3% |
Reasoning Gemini Advanced 0514 leads
Gemini Advanced 0514: 24.6 (#160), Phi 3 Small 8k Instruct: 14.8 (#323)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1248 | 1100 |
| LiveBench Reasoning | — | 15.9% |
| LiveBench Data Analysis | — | 30.3% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 79.1% |
| HellaSwag | — | 77% |
| LiveBench | — | 24% |
| WinoGrande | — | 81.5% |
Math Gemini Advanced 0514 leads
Gemini Advanced 0514: 35.5 (#181), Phi 3 Small 8k Instruct: 27.6 (#248)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Math | 1272 | 1151 |
| LiveBench Math | — | 17.6% |
Knowledge Gemini Advanced 0514 leads
Gemini Advanced 0514: 33.3 (#205), Phi 3 Small 8k Instruct: 29.1 (#240)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Expert | 1215 | 1067 |
| ARC (AI2) Challenge | — | 90.7% |
| MMLU | — | 75.7% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 58.1% |
Multilingual Gemini Advanced 0514 leads
Gemini Advanced 0514: 42.6 (#192), Phi 3 Small 8k Instruct: 28.5 (#272)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Non-English | 1274 | 1058 |
| LMArena Chinese | 1274 | 1061 |
| LMArena French | 1307 | 1135 |
| LMArena German | 1275 | 1080 |
| LMArena Japanese | 1242 | 966 |
| LMArena Korean | 1232 | 894 |
| LMArena Russian | 1283 | 1111 |
| LMArena Spanish | 1242 | 1111 |
Instruction Following Gemini Advanced 0514 leads
Gemini Advanced 0514: 66.0 (#212), Phi 3 Small 8k Instruct: 51.9 (#292)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Instruction Following | 1253 | 1087 |
| LiveBench Instruction Following | — | 47.2% |
Long Context Gemini Advanced 0514 leads
Gemini Advanced 0514: 38.0 (#207), Phi 3 Small 8k Instruct: 33.0 (#267)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Longer Query | 1253 | 1088 |
Writing & Preference Gemini Advanced 0514 leads
Gemini Advanced 0514: 48.5 (#200), Phi 3 Small 8k Instruct: 31.1 (#284)
| Benchmark | Gemini Advanced 0514 | Phi 3 Small 8k Instruct |
|---|---|---|
| LMArena Text | 1279 | 1110 |
| LMArena Creative Writing | 1284 | 1083 |
| LMArena Multi-Turn | 1269 | 1068 |
| LiveBench Language | — | 12.9% |
Frequently asked questions
Is Gemini Advanced 0514 better than Phi 3 Small 8k Instruct?
Gemini Advanced 0514 is the stronger model overall, scoring 37.7 to 29.3 on the Noometry Index.
Is Gemini Advanced 0514 or Phi 3 Small 8k Instruct better for coding?
Gemini Advanced 0514 scores higher on coding benchmarks: 36.6 versus 27.9 in the Noometry coding category.
How many benchmarks do Gemini Advanced 0514 and Phi 3 Small 8k Instruct share?
17 benchmarks have published results for both models. Gemini Advanced 0514 has 17 scored results on Noometry and Phi 3 Small 8k Instruct has 32.