Model comparison
GPT-3.5-turbo vs Llama 2-70B
Llama 2-70B is the stronger model overall, scoring 24.4 to 23.2 on the Noometry Index.
Last verified . 32 shared benchmarks.
Summary
- They share 32 benchmarks with published results for both. GPT-3.5-turbo scores higher in 4 categories and Llama 2-70B in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Llama 2-70B leads 31.4 to 23.9.
- The biggest single-benchmark swing is MATH Level 5: 15.9% for GPT-3.5-turbo and 3.3% for Llama 2-70B.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Llama 2-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 23.2 | 24.4 |
| Released | 2023-03-01 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 35 |
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Category by category
Coding Llama 2-70B leads
GPT-3.5-turbo: 23.9 (#331), Llama 2-70B: 31.4 (#286)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1136 | 1079 |
| 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 2-70B: —
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Too close to call
GPT-3.5-turbo: 13.8 (#332), Llama 2-70B: 14.4 (#325)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1073 |
| DTBench | 48.5% | 41.6% |
| BIG-Bench Hard | 61.6% | 64.9% |
| CommonsenseQA 2.0 | 57% | 50% |
| Epoch Capabilities Index | 118.55 | 113.79 |
| ForecastBench | 50.4 | 51.4 |
| WinoGrande | 81.6% | 80.2% |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
Math Llama 2-70B leads
GPT-3.5-turbo: 6.3 (#327), Llama 2-70B: 8.1 (#326)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.2% | 0% |
| LMArena Math | 1142 | 1091 |
| MATH Level 5 | 15.9% | 3.3% |
| GSM8K | 57.8% | 69.6% |
| FrontierMath (Tiers 1-3) | 0% | — |
Knowledge GPT-3.5-turbo leads
GPT-3.5-turbo: 10.0 (#303), Llama 2-70B: 7.4 (#310)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| GPQA Diamond | 28% | 26.3% |
| LMArena Expert | 1070 | 1039 |
| ARC (AI2) Challenge | 87.4% | 78.3% |
| BoolQ | 87% | 88.6% |
| MMLU | 71.4% | 69.9% |
| OpenBookQA | 86% | 60.2% |
| TriviaQA | 85.8% | 87.6% |
Multilingual GPT-3.5-turbo leads
GPT-3.5-turbo: 31.5 (#258), Llama 2-70B: 27.7 (#274)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1108 | 1045 |
| LMArena Chinese | 1075 | 995 |
| LMArena French | 1118 | 1090 |
| LMArena German | 1090 | 1041 |
| LMArena Japanese | 1043 | 927 |
| LMArena Korean | 1019 | 964 |
| LMArena Russian | 1123 | 1083 |
| LMArena Spanish | 1121 | 1143 |
Instruction Following GPT-3.5-turbo leads
GPT-3.5-turbo: 57.9 (#262), Llama 2-70B: 54.9 (#278)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1119 | 1071 |
Long Context GPT-3.5-turbo leads
GPT-3.5-turbo: 34.0 (#254), Llama 2-70B: 32.3 (#270)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1121 | 1062 |
Writing & Preference Llama 2-70B leads
GPT-3.5-turbo: 25.3 (#305), Llama 2-70B: 32.3 (#279)
| Benchmark | GPT-3.5-turbo | Llama 2-70B |
|---|---|---|
| LMArena Text | 1125 | 1115 |
| LMArena Creative Writing | 1092 | 1075 |
| LMArena Multi-Turn | 1117 | 1088 |
| EQ-Bench Creative Writing | 451 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Llama 2-70B?
Llama 2-70B is the stronger model overall, scoring 24.4 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or Llama 2-70B better for coding?
Llama 2-70B scores higher on coding benchmarks: 31.4 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Llama 2-70B share?
32 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Llama 2-70B has 35.