Model comparison
Llama 3.1 Tulu 3 8b vs Phi 3 Mini 4k Instruct
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 27.9 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. Llama 3.1 Tulu 3 8b scores higher in 7 categories and Phi 3 Mini 4k Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama 3.1 Tulu 3 8b leads 61.3 to 47.7.
Side by side
| Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Microsoft |
| Noometry Index | 35.7 | 27.9 |
| Released | — | 2024-04-23 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 11 | 35 |
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Category by category
Coding Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 34.4 (#235), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1183 | 1093 |
| LiveBench Coding | — | 15.5% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Reasoning Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 22.8 (#188), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1072 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 26.8% |
| LiveBench Data Analysis | — | 34.7% |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 33.9 (#198), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1195 | 1111 |
| LiveBench Math | — | 15.7% |
Knowledge Not comparable
Llama 3.1 Tulu 3 8b: —, Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | — | 1045 |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multilingual Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 35.4 (#246), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1169 | 1021 |
| LMArena Chinese | 1176 | 1021 |
| LMArena Russian | 1193 | 1022 |
| LMArena French | — | 1076 |
| LMArena German | — | 1044 |
| LMArena Japanese | — | 935 |
| LMArena Korean | — | 905 |
| LMArena Spanish | — | 1085 |
Instruction Following Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 61.3 (#246), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1174 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 35.8 (#239), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1181 | 1044 |
Writing & Preference Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 39.7 (#245), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | Llama 3.1 Tulu 3 8b | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1193 | 1073 |
| LMArena Creative Writing | 1182 | 1037 |
| LMArena Multi-Turn | 1154 | 1018 |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is Llama 3.1 Tulu 3 8b better than Phi 3 Mini 4k Instruct?
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 27.9 on the Noometry Index.
Is Llama 3.1 Tulu 3 8b or Phi 3 Mini 4k Instruct better for coding?
Llama 3.1 Tulu 3 8b scores higher on coding benchmarks: 34.4 versus 26.6 in the Noometry coding category.
How many benchmarks do Llama 3.1 Tulu 3 8b and Phi 3 Mini 4k Instruct share?
11 benchmarks have published results for both models. Llama 3.1 Tulu 3 8b has 11 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.