Model comparison
GPT-3.5-turbo vs Grok 3
Grok 3 is the stronger model overall, scoring 39.9 to 23.2 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-3.5-turbo scores higher in 1 category and Grok 3 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 3 leads 46.2 to 10.0.
- The biggest single-benchmark swing is MATH Level 5: 15.9% for GPT-3.5-turbo and 88.7% for Grok 3.
Side by side
| GPT-3.5-turbo | Grok 3 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 23.2 | 39.9 |
| Released | 2023-03-01 | 2025-04-09 |
| Weights | Proprietary | Proprietary |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 40 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 3 leads
GPT-3.5-turbo: 23.9 (#331), Grok 3: 41.9 (#115)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| WeirdML | 3.5% | 37.2% |
| LMArena Coding | 1136 | 1432 |
| Aider Polyglot | — | 53.3% |
| BigCodeBench Instruct | 39.1% | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Grok 3: 30.5 (#76)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| BALROG | — | 29.5% |
| METR Time Horizons | 21.5% | — |
Reasoning Too close to call
GPT-3.5-turbo: 13.8 (#332), Grok 3: 13.7 (#333)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1434 |
| Epoch Capabilities Index | 118.55 | 138.33 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 36.1% |
| Kagi LLM Benchmark | — | 61.3% |
| ARC-AGI-1 | — | 5.5% |
| 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% | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Grok 3 leads
GPT-3.5-turbo: 6.3 (#327), Grok 3: 38.0 (#145)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.2% | 55.6% |
| LMArena Math | 1142 | 1391 |
| MATH Level 5 | 15.9% | 88.7% |
| FrontierMath (Tiers 1-3) | 0% | — |
| Omni-MATH | — | 46.4% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 57.8% | — |
Knowledge Grok 3 leads
GPT-3.5-turbo: 10.0 (#303), Grok 3: 46.2 (#82)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| GPQA Diamond | 28% | 75.8% |
| LMArena Expert | 1070 | 1421 |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Grok 3 leads
GPT-3.5-turbo: 31.5 (#258), Grok 3: 52.3 (#87)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| LMArena Non-English | 1108 | 1410 |
| LMArena Chinese | 1075 | 1448 |
| LMArena French | 1118 | 1460 |
| LMArena German | 1090 | 1431 |
| LMArena Japanese | 1043 | 1387 |
| LMArena Korean | 1019 | 1373 |
| LMArena Russian | 1123 | 1416 |
| LMArena Spanish | 1121 | 1417 |
Instruction Following Grok 3 leads
GPT-3.5-turbo: 57.9 (#262), Grok 3: 75.0 (#73)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 1119 | 1409 |
| IFEval | — | 88.4% |
Long Context Grok 3 leads
GPT-3.5-turbo: 34.0 (#254), Grok 3: 38.7 (#192)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| LMArena Longer Query | 1121 | 1439 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference Grok 3 leads
GPT-3.5-turbo: 25.3 (#305), Grok 3: 55.8 (#141)
| Benchmark | GPT-3.5-turbo | Grok 3 |
|---|---|---|
| LMArena Text | 1125 | 1426 |
| LMArena Creative Writing | 1092 | 1414 |
| EQ-Bench Creative Writing | 451 | 1186 |
| LMArena Multi-Turn | 1117 | 1425 |
| Short-Story Creative Writing | — | 76.4% |
| WildBench | — | 84.9% |
Frequently asked questions
Is GPT-3.5-turbo better than Grok 3?
Grok 3 is the stronger model overall, scoring 39.9 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or Grok 3 better for coding?
Grok 3 scores higher on coding benchmarks: 41.9 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Grok 3 share?
23 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Grok 3 has 40.