Model comparison
GPT-4 vs Wizardlm 13b
Wizardlm 13b is the stronger model overall, scoring 31.4 to 29.1 on the Noometry Index.
Last verified . 10 shared benchmarks.
MicrosoftSummary
- They share 10 benchmarks with published results for both. GPT-4 scores higher in 5 categories and Wizardlm 13b in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Wizardlm 13b leads 30.2 to 10.8.
- Wizardlm 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-4 | Wizardlm 13b | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 29.1 | 31.4 |
| Released | 2023-03-14 | — |
| Weights | Proprietary | Open |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $60 | — |
| Results tracked | 38 | 10 |
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Category by category
Coding GPT-4 leads
GPT-4: 31.6 (#283), Wizardlm 13b: 30.1 (#298)
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1254 | 1035 |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |
Agentic & Tool Use Not comparable
GPT-4: —, Wizardlm 13b: —
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| METR Time Horizons | 36.1% | — |
Reasoning Wizardlm 13b leads
GPT-4: 17.8 (#289), Wizardlm 13b: 19.4 (#259)
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1018 |
| Chess Puzzles | 4% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.89 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |
Math Wizardlm 13b leads
GPT-4: 10.8 (#309), Wizardlm 13b: 30.2 (#238)
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1269 | 1017 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |
Knowledge Not comparable
GPT-4: 18.4 (#282), Wizardlm 13b: —
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 35.7% | — |
| LMArena Expert | 1211 | — |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |
Multilingual GPT-4 leads
GPT-4: 40.6 (#215), Wizardlm 13b: 27.1 (#277)
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1246 | 1034 |
| LMArena Chinese | 1242 | 1023 |
| LMArena French | 1283 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1251 | — |
| LMArena Spanish | 1261 | — |
Instruction Following GPT-4 leads
GPT-4: 65.3 (#222), Wizardlm 13b: 53.5 (#285)
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1241 | 1048 |
Long Context GPT-4 leads
GPT-4: 37.7 (#212), Wizardlm 13b: 32.0 (#273)
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1244 | 1054 |
Writing & Preference GPT-4 leads
GPT-4: 34.9 (#268), Wizardlm 13b: 30.5 (#287)
| Benchmark | GPT-4 | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1263 | 1077 |
| LMArena Creative Writing | 1244 | 1091 |
| LMArena Multi-Turn | 1257 | 1047 |
| EQ-Bench Creative Writing | 752 | — |
Frequently asked questions
Is GPT-4 better than Wizardlm 13b?
Wizardlm 13b is the stronger model overall, scoring 31.4 to 29.1 on the Noometry Index.
Is GPT-4 or Wizardlm 13b better for coding?
GPT-4 scores higher on coding benchmarks: 31.6 versus 30.1 in the Noometry coding category.
How many benchmarks do GPT-4 and Wizardlm 13b share?
10 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Wizardlm 13b has 10.