Model comparison
Llama 2-70B vs Wizardlm 13b
Wizardlm 13b is the stronger model overall, scoring 31.4 to 24.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
MicrosoftSummary
- They share 10 benchmarks with published results for both. Llama 2-70B scores higher in 5 categories and Wizardlm 13b in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Wizardlm 13b leads 30.2 to 8.1.
Side by side
| Llama 2-70B | Wizardlm 13b | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 24.4 | 31.4 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 35 | 10 |
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Category by category
Coding Llama 2-70B leads
Llama 2-70B: 31.4 (#286), Wizardlm 13b: 30.1 (#298)
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1079 | 1035 |
Reasoning Wizardlm 13b leads
Llama 2-70B: 14.4 (#325), Wizardlm 13b: 19.4 (#259)
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1018 |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.79 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Wizardlm 13b leads
Llama 2-70B: 8.1 (#326), Wizardlm 13b: 30.2 (#238)
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1091 | 1017 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Not comparable
Llama 2-70B: 7.4 (#310), Wizardlm 13b: —
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 26.3% | — |
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Too close to call
Llama 2-70B: 27.7 (#274), Wizardlm 13b: 27.1 (#277)
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1045 | 1034 |
| LMArena Chinese | 995 | 1023 |
| LMArena French | 1090 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Russian | 1083 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Llama 2-70B leads
Llama 2-70B: 54.9 (#278), Wizardlm 13b: 53.5 (#285)
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1071 | 1048 |
Long Context Too close to call
Llama 2-70B: 32.3 (#270), Wizardlm 13b: 32.0 (#273)
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1062 | 1054 |
Writing & Preference Llama 2-70B leads
Llama 2-70B: 32.3 (#279), Wizardlm 13b: 30.5 (#287)
| Benchmark | Llama 2-70B | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1115 | 1077 |
| LMArena Creative Writing | 1075 | 1091 |
| LMArena Multi-Turn | 1088 | 1047 |
Frequently asked questions
Is Llama 2-70B better than Wizardlm 13b?
Wizardlm 13b is the stronger model overall, scoring 31.4 to 24.4 on the Noometry Index.
Is Llama 2-70B or Wizardlm 13b better for coding?
Llama 2-70B scores higher on coding benchmarks: 31.4 versus 30.1 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Wizardlm 13b share?
10 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Wizardlm 13b has 10.