Model comparison
GPT-3.5-turbo vs Llama 13b
Llama 13b is the stronger model overall, scoring 24.4 to 23.2 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. GPT-3.5-turbo scores higher in 4 categories and Llama 13b in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-3.5-turbo leads 57.9 to 36.7.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Llama 13b | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 23.2 | 24.4 |
| Released | 2023-03-01 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 21 |
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Category by category
Coding GPT-3.5-turbo leads
GPT-3.5-turbo: 23.9 (#331), Llama 13b: 21.4 (#337)
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| LMArena Coding | 1136 | 683 |
| WeirdML | 3.5% | — |
| BigCodeBench Instruct | 39.1% | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Llama 13b: —
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Too close to call
GPT-3.5-turbo: 13.8 (#332), Llama 13b: 14.0 (#329)
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1108 | 728 |
| BIG-Bench Hard | 61.6% | 37.9% |
| Epoch Capabilities Index | 118.55 | 100.58 |
| WinoGrande | 81.6% | 73% |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| CommonsenseQA 2.0 | 57% | — |
| ForecastBench | 50.4 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
Math Llama 13b leads
GPT-3.5-turbo: 6.3 (#327), Llama 13b: 26.7 (#256)
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| LMArena Math | 1142 | 838 |
| GSM8K | 57.8% | 20.6% |
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| MATH Level 5 | 15.9% | — |
Knowledge Not comparable
GPT-3.5-turbo: 10.0 (#303), Llama 13b: —
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| ARC (AI2) Challenge | 87.4% | 52.7% |
| BoolQ | 87% | 78.7% |
| MMLU | 71.4% | 47.7% |
| OpenBookQA | 86% | 56.4% |
| TriviaQA | 85.8% | 77.9% |
| GPQA Diamond | 28% | — |
| LMArena Expert | 1070 | — |
Multimodal Not comparable
GPT-3.5-turbo: —, Llama 13b: —
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual GPT-3.5-turbo leads
GPT-3.5-turbo: 31.5 (#258), Llama 13b: 16.6 (#297)
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| LMArena Non-English | 1108 | 819 |
| LMArena Chinese | 1075 | — |
| LMArena French | 1118 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Russian | 1123 | — |
| LMArena Spanish | 1121 | — |
Instruction Following GPT-3.5-turbo leads
GPT-3.5-turbo: 57.9 (#262), Llama 13b: 36.7 (#305)
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1119 | 781 |
Long Context Not comparable
GPT-3.5-turbo: 34.0 (#254), Llama 13b: —
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1121 | — |
Writing & Preference GPT-3.5-turbo leads
GPT-3.5-turbo: 25.3 (#305), Llama 13b: 13.8 (#312)
| Benchmark | GPT-3.5-turbo | Llama 13b |
|---|---|---|
| LMArena Text | 1125 | 834 |
| LMArena Creative Writing | 1092 | 794 |
| LMArena Multi-Turn | 1117 | 753 |
| EQ-Bench Creative Writing | 451 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Llama 13b?
Llama 13b is the stronger model overall, scoring 24.4 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or Llama 13b better for coding?
GPT-3.5-turbo scores higher on coding benchmarks: 23.9 versus 21.4 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Llama 13b share?
17 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Llama 13b has 21.