Model comparison
Llama2 70b Steerlm Chat vs phi-3-medium 14B
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIA
MicrosoftSummary
- The widest gap is in coding, where phi-3-medium 14B leads 36.8 to 29.9.
Side by side
| Llama2 70b Steerlm Chat | phi-3-medium 14B | |
|---|---|---|
| Provider | NVIDIA | Microsoft |
| Noometry Index | 31.8 | 29.7 |
| Released | — | 2024-04-23 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 13 |
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Category by category
Coding phi-3-medium 14B leads
Llama2 70b Steerlm Chat: 29.9 (#300), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1025 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Llama2 70b Steerlm Chat: 20.0 (#246), phi-3-medium 14B: —
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1047 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1072 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, phi-3-medium 14B: 9.1 (#306)
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
Llama2 70b Steerlm Chat: 28.8 (#270), phi-3-medium 14B: —
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1063 | — |
Instruction Following Not comparable
Llama2 70b Steerlm Chat: 54.2 (#279), phi-3-medium 14B: —
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Llama2 70b Steerlm Chat: 30.4 (#288), phi-3-medium 14B: —
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 998 | — |
Writing & Preference Not comparable
Llama2 70b Steerlm Chat: 31.6 (#283), phi-3-medium 14B: —
| Benchmark | Llama2 70b Steerlm Chat | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1098 | — |
| LMArena Creative Writing | 1091 | — |
| LMArena Multi-Turn | 1058 | — |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than phi-3-medium 14B?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 29.7 on the Noometry Index.
Is Llama2 70b Steerlm Chat or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and phi-3-medium 14B share?
0 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and phi-3-medium 14B has 13.