Model comparison
Llama 2-7B vs Wizardlm 13b
Wizardlm 13b is the stronger model overall, scoring 30.8 to 28.6 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
MicrosoftSummary
- They share 10 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and Wizardlm 13b in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Wizardlm 13b leads 18.5 to 15.1.
Side by side
| Llama 2-7B | Wizardlm 13b | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 28.6 | 30.8 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 10 |
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Category by category
Coding Too close to call
Llama 2-7B: 28.7 (#302), Wizardlm 13b: 29.6 (#293)
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1002 | 1035 |
Reasoning Wizardlm 13b leads
Llama 2-7B: 15.1 (#309), Wizardlm 13b: 18.5 (#265)
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1018 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 98.54 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Too close to call
Llama 2-7B: 28.2 (#231), Wizardlm 13b: 27.8 (#235)
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1042 | 1017 |
| GSM8K | 16.7% | — |
Knowledge Not comparable
Llama 2-7B: 27.7 (#243), Wizardlm 13b: —
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Wizardlm 13b: —
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Wizardlm 13b leads
Llama 2-7B: 23.9 (#288), Wizardlm 13b: 27.3 (#272)
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 973 | 1034 |
| LMArena Chinese | 973 | 1023 |
| LMArena French | 969 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Wizardlm 13b leads
Llama 2-7B: 51.0 (#293), Wizardlm 13b: 53.7 (#280)
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1006 | 1049 |
Long Context Wizardlm 13b leads
Llama 2-7B: 30.4 (#282), Wizardlm 13b: 32.0 (#268)
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 999 | 1054 |
Writing & Preference Wizardlm 13b leads
Llama 2-7B: 28.1 (#293), Wizardlm 13b: 30.7 (#282)
| Benchmark | Llama 2-7B | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1053 | 1077 |
| LMArena Creative Writing | 1033 | 1090 |
| LMArena Multi-Turn | 1029 | 1047 |
Frequently asked questions
Is Llama 2-7B better than Wizardlm 13b?
Wizardlm 13b is the stronger model overall, scoring 30.8 to 28.6 on the Noometry Index.
Is Llama 2-7B or Wizardlm 13b better for coding?
They score almost the same on coding (28.7 vs 29.6); test both on your own repository before choosing.
How many benchmarks do Llama 2-7B and Wizardlm 13b share?
10 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Wizardlm 13b has 10.