Model comparison
Llama 3.1-70B vs Wizardlm 70b
Wizardlm 70b is the stronger model overall, scoring 33.0 to 29.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
MicrosoftSummary
- They share 12 benchmarks with published results for both. Llama 3.1-70B scores higher in 5 categories and Wizardlm 70b in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Wizardlm 70b leads 32.2 to 13.5.
Side by side
| Llama 3.1-70B | Wizardlm 70b | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 29.6 | 33.0 |
| Released | 2024-07-23 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Wizardlm 70b leads
Llama 3.1-70B: 30.3 (#296), Wizardlm 70b: 31.4 (#285)
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1260 | 1081 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Wizardlm 70b: —
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Too close to call
Llama 3.1-70B: 21.6 (#220), Wizardlm 70b: 20.7 (#234)
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1079 |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Wizardlm 70b leads
Llama 3.1-70B: 13.5 (#304), Wizardlm 70b: 32.2 (#218)
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1252 | 1116 |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| MATH Level 5 | 36.7% | — |
Knowledge Not comparable
Llama 3.1-70B: 24.2 (#269), Wizardlm 70b: —
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
| MMLU | 80.1% | — |
Multilingual Llama 3.1-70B leads
Llama 3.1-70B: 38.8 (#225), Wizardlm 70b: 29.6 (#265)
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1219 | 1078 |
| LMArena Chinese | 1215 | 1052 |
| LMArena German | 1222 | 1083 |
| LMArena Russian | 1234 | 1155 |
| LMArena French | 1261 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Spanish | 1253 | — |
Instruction Following Llama 3.1-70B leads
Llama 3.1-70B: 65.3 (#223), Wizardlm 70b: 56.3 (#273)
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1231 | 1093 |
| IFEval | 82.1% | — |
Long Context Llama 3.1-70B leads
Llama 3.1-70B: 37.6 (#214), Wizardlm 70b: 33.3 (#263)
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1241 | 1097 |
Writing & Preference Too close to call
Llama 3.1-70B: 35.4 (#267), Wizardlm 70b: 34.8 (#269)
| Benchmark | Llama 3.1-70B | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1261 | 1120 |
| LMArena Creative Writing | 1232 | 1149 |
| LMArena Multi-Turn | 1256 | 1108 |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
Frequently asked questions
Is Llama 3.1-70B better than Wizardlm 70b?
Wizardlm 70b is the stronger model overall, scoring 33.0 to 29.6 on the Noometry Index.
Is Llama 3.1-70B or Wizardlm 70b better for coding?
Wizardlm 70b scores higher on coding benchmarks: 31.4 versus 30.3 in the Noometry coding category.
How many benchmarks do Llama 3.1-70B and Wizardlm 70b share?
12 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Wizardlm 70b has 12.