Model comparison
GPT-3.5-turbo vs Olmo 2 0325 32b Instruct
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 23.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Olmo 2 0325 32b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 2 0325 32b Instruct leads 26.8 to 6.3.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-3.5-turbo | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 23.2 | 32.7 |
| Released | 2023-03-01 | — |
| Weights | Proprietary | Open |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 16 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 23.9 (#331), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1136 | 1210 |
| 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: —, Olmo 2 0325 32b Instruct: —
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 13.8 (#332), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1208 |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| Epoch Capabilities Index | 118.55 | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 6.3 (#327), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1142 | 1208 |
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| Omni-MATH | — | 16.1% |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 10.0 (#303), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 28% | — |
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1070 | — |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 31.5 (#258), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1108 | 1160 |
| LMArena Chinese | 1075 | 1192 |
| LMArena Russian | 1123 | 1187 |
| LMArena French | 1118 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Spanish | 1121 | — |
Instruction Following Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 57.9 (#262), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1119 | 1186 |
| IFEval | — | 78% |
Long Context Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 34.0 (#254), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1121 | 1194 |
Writing & Preference Olmo 2 0325 32b Instruct leads
GPT-3.5-turbo: 25.3 (#305), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | GPT-3.5-turbo | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1125 | 1218 |
| LMArena Creative Writing | 1092 | 1199 |
| LMArena Multi-Turn | 1117 | 1221 |
| EQ-Bench Creative Writing | 451 | — |
| WildBench | — | 73.4% |
Frequently asked questions
Is GPT-3.5-turbo better than Olmo 2 0325 32b Instruct?
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.