Model comparison
GPT-3.5-turbo vs Llama 3-70B
Llama 3-70B is the stronger model overall, scoring 28.8 to 23.2 on the Noometry Index.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Llama 3-70B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama 3-70B leads 42.8 to 25.3.
- The biggest single-benchmark swing is GPQA Diamond: 28% for GPT-3.5-turbo and 40.6% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Llama 3-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 23.2 | 28.8 |
| Released | 2023-03-01 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 31 |
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Category by category
Coding Llama 3-70B leads
GPT-3.5-turbo: 23.9 (#331), Llama 3-70B: 35.8 (#218)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| BigCodeBench Instruct | 39.1% | 43.6% |
| LMArena Coding | 1136 | 1206 |
| BigCodeBench Complete | 50.6% | 54.5% |
| HumanEval+ | 70.7% | 72% |
| MBPP+ | 69.7% | 69% |
| WeirdML | 3.5% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Llama 3-70B: 21.1 (#139)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
| METR Time Horizons | 21.5% | — |
Reasoning Llama 3-70B leads
GPT-3.5-turbo: 13.8 (#332), Llama 3-70B: 18.0 (#288)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1195 |
| DTBench | 48.5% | 54.2% |
| Epoch Capabilities Index | 118.55 | 122.93 |
| ForecastBench | 50.4 | 57.1 |
| WinoGrande | 81.6% | 83.5% |
| Kagi LLM Benchmark | — | 35.1% |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
Math Llama 3-70B leads
GPT-3.5-turbo: 6.3 (#327), Llama 3-70B: 12.8 (#305)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.2% | 4.3% |
| LMArena Math | 1142 | 1218 |
| MATH Level 5 | 15.9% | 22.6% |
| FrontierMath (Tiers 1-3) | 0% | — |
| GSM8K | 57.8% | — |
Knowledge Llama 3-70B leads
GPT-3.5-turbo: 10.0 (#303), Llama 3-70B: 20.8 (#277)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 28% | 40.6% |
| LMArena Expert | 1070 | 1149 |
| MMLU | 71.4% | 79.3% |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Llama 3-70B leads
GPT-3.5-turbo: 31.5 (#258), Llama 3-70B: 33.6 (#251)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1108 | 1142 |
| LMArena Chinese | 1075 | 1114 |
| LMArena French | 1118 | 1232 |
| LMArena German | 1090 | 1169 |
| LMArena Japanese | 1043 | 1017 |
| LMArena Korean | 1019 | 1017 |
| LMArena Russian | 1123 | 1159 |
| LMArena Spanish | 1121 | 1241 |
Instruction Following Llama 3-70B leads
GPT-3.5-turbo: 57.9 (#262), Llama 3-70B: 62.5 (#238)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1119 | 1194 |
Long Context Llama 3-70B leads
GPT-3.5-turbo: 34.0 (#254), Llama 3-70B: 35.6 (#240)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1121 | 1174 |
Writing & Preference Llama 3-70B leads
GPT-3.5-turbo: 25.3 (#305), Llama 3-70B: 42.8 (#231)
| Benchmark | GPT-3.5-turbo | Llama 3-70B |
|---|---|---|
| LMArena Text | 1125 | 1221 |
| LMArena Creative Writing | 1092 | 1210 |
| LMArena Multi-Turn | 1117 | 1223 |
| EQ-Bench Creative Writing | 451 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Llama 3-70B?
Llama 3-70B is the stronger model overall, scoring 28.8 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or Llama 3-70B better for coding?
Llama 3-70B scores higher on coding benchmarks: 35.8 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Llama 3-70B share?
29 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Llama 3-70B has 31.