Model comparison
GPT-4 Turbo vs Wizardlm 13b
GPT-4 Turbo and Wizardlm 13b score almost the same on the Noometry Index (30.5 vs 31.4), so choose on price, context window or the category you care about most.
Last verified . 10 shared benchmarks.
MicrosoftSummary
- They share 10 benchmarks with published results for both. GPT-4 Turbo 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 9.0.
- Wizardlm 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | Wizardlm 13b | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 30.5 | 31.4 |
| Released | 2023-11-06 | — |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 10 |
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Category by category
Coding GPT-4 Turbo leads
GPT-4 Turbo: 33.8 (#249), Wizardlm 13b: 30.1 (#298)
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1268 | 1035 |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Wizardlm 13b: —
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Wizardlm 13b leads
GPT-4 Turbo: 15.3 (#317), Wizardlm 13b: 19.4 (#259)
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1018 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Wizardlm 13b leads
GPT-4 Turbo: 9.0 (#322), Wizardlm 13b: 30.2 (#238)
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1272 | 1017 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| MATH Level 5 | 46.7% | — |
Knowledge Not comparable
GPT-4 Turbo: 24.3 (#268), Wizardlm 13b: —
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| LMArena Expert | 1223 | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), Wizardlm 13b: —
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual GPT-4 Turbo leads
GPT-4 Turbo: 40.5 (#216), Wizardlm 13b: 27.1 (#277)
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1245 | 1034 |
| LMArena Chinese | 1242 | 1023 |
| LMArena French | 1276 | — |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1259 | — |
| LMArena Spanish | 1260 | — |
Instruction Following GPT-4 Turbo leads
GPT-4 Turbo: 65.8 (#216), Wizardlm 13b: 53.5 (#285)
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1249 | 1048 |
Long Context GPT-4 Turbo leads
GPT-4 Turbo: 38.0 (#206), Wizardlm 13b: 32.0 (#273)
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1254 | 1054 |
Writing & Preference GPT-4 Turbo leads
GPT-4 Turbo: 47.7 (#206), Wizardlm 13b: 30.5 (#287)
| Benchmark | GPT-4 Turbo | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1272 | 1077 |
| LMArena Creative Writing | 1269 | 1091 |
| LMArena Multi-Turn | 1267 | 1047 |
Frequently asked questions
Is GPT-4 Turbo better than Wizardlm 13b?
GPT-4 Turbo and Wizardlm 13b score almost the same on the Noometry Index (30.5 vs 31.4), so choose on price, context window or the category you care about most.
Is GPT-4 Turbo or Wizardlm 13b better for coding?
GPT-4 Turbo scores higher on coding benchmarks: 33.8 versus 30.1 in the Noometry coding category.
How many benchmarks do GPT-4 Turbo and Wizardlm 13b share?
10 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Wizardlm 13b has 10.