Model comparison
Llama-3.3-70B-Instruct vs Wizardlm 70b
Wizardlm 70b is the stronger model overall, scoring 33.0 to 30.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
MicrosoftSummary
- They share 12 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 3 categories and Wizardlm 70b in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Wizardlm 70b leads 32.2 to 15.3.
Side by side
| Llama-3.3-70B-Instruct | Wizardlm 70b | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 30.6 | 33.0 |
| Released | 2024-12-06 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.32 | — |
| Results tracked | 43 | 12 |
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Category by category
Coding Too close to call
Llama-3.3-70B-Instruct: 31.0 (#290), Wizardlm 70b: 31.4 (#285)
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1268 | 1081 |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| BigCodeBench Complete | 57.5% | — |
Agentic & Tool Use Not comparable
Llama-3.3-70B-Instruct: 25.8 (#105), Wizardlm 70b: —
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Wizardlm 70b leads
Llama-3.3-70B-Instruct: 14.1 (#327), Wizardlm 70b: 20.7 (#234)
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1079 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.33 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
Math Wizardlm 70b leads
Llama-3.3-70B-Instruct: 15.3 (#298), Wizardlm 70b: 32.2 (#218)
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1267 | 1116 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |
Knowledge Not comparable
Llama-3.3-70B-Instruct: 30.6 (#226), Wizardlm 70b: —
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |
| MMLU | 86.3% | — |
Multilingual Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 39.9 (#220), Wizardlm 70b: 29.6 (#265)
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1236 | 1078 |
| LMArena Chinese | 1217 | 1052 |
| LMArena German | 1251 | 1083 |
| LMArena Russian | 1252 | 1155 |
| LMArena French | 1281 | — |
| LMArena Japanese | 1150 | — |
| LMArena Korean | 1143 | — |
| LMArena Spanish | 1270 | — |
Instruction Following Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 71.1 (#157), Wizardlm 70b: 56.3 (#273)
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1242 | 1093 |
| LiveBench Instruction Following | 82.7% | — |
Long Context Wizardlm 70b leads
Llama-3.3-70B-Instruct: 26.4 (#295), Wizardlm 70b: 33.3 (#263)
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1256 | 1097 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 47.6 (#207), Wizardlm 70b: 34.8 (#269)
| Benchmark | Llama-3.3-70B-Instruct | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1274 | 1120 |
| LMArena Creative Writing | 1250 | 1149 |
| LMArena Multi-Turn | 1280 | 1108 |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Wizardlm 70b?
Wizardlm 70b is the stronger model overall, scoring 33.0 to 30.6 on the Noometry Index.
Is Llama-3.3-70B-Instruct or Wizardlm 70b better for coding?
They score almost the same on coding (31.0 vs 31.4); test both on your own repository before choosing.
How many benchmarks do Llama-3.3-70B-Instruct and Wizardlm 70b share?
12 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Wizardlm 70b has 12.