Model comparison
GPT-3.5-turbo vs Grok 4 Fast
Grok 4 Fast is the stronger model overall, scoring 39.4 to 23.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Grok 4 Fast in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4 Fast leads 60.0 to 25.3.
- The biggest single-benchmark swing is WeirdML: 3.5% for GPT-3.5-turbo and 42.9% for Grok 4 Fast.
Side by side
| GPT-3.5-turbo | Grok 4 Fast | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 23.2 | 39.4 |
| Released | 2023-03-01 | 2025-09-19 |
| Weights | Proprietary | Proprietary |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 30 |
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Category by category
Coding Grok 4 Fast leads
GPT-3.5-turbo: 23.9 (#331), Grok 4 Fast: 32.5 (#271)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| WeirdML | 3.5% | 42.9% |
| LMArena Coding | 1136 | 1429 |
| LMArena WebDev | — | 1159 |
| BigCodeBench Instruct | 39.1% | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Grok 4 Fast: 29.5 (#86)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| τ²-bench Banking | — | 15.7% |
| Cybench | — | 30% |
| LMArena Search | — | 1171 |
| METR Time Horizons | 21.5% | — |
Reasoning Grok 4 Fast leads
GPT-3.5-turbo: 13.8 (#332), Grok 4 Fast: 22.2 (#201)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1412 |
| DTBench | 48.5% | 82.7% |
| Epoch Capabilities Index | 118.55 | 144.2 |
| ForecastBench | 50.4 | 60.5 |
| ARC-AGI-2 | — | 5.3% |
| Kagi LLM Benchmark | — | 66.1% |
| ARC-AGI-1 | — | 48.5% |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| WinoGrande | 81.6% | — |
Math Grok 4 Fast leads
GPT-3.5-turbo: 6.3 (#327), Grok 4 Fast: 38.9 (#123)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| LMArena Math | 1142 | 1419 |
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Grok 4 Fast leads
GPT-3.5-turbo: 10.0 (#303), Grok 4 Fast: 32.0 (#214)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| LMArena Expert | 1070 | 1411 |
| GPQA Diamond | 28% | — |
| Vectara Hallucination Rate | — | 19.7% |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Grok 4 Fast leads
GPT-3.5-turbo: 31.5 (#258), Grok 4 Fast: 51.3 (#111)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| LMArena Non-English | 1108 | 1396 |
| LMArena Chinese | 1075 | 1457 |
| LMArena French | 1118 | 1431 |
| LMArena German | 1090 | 1383 |
| LMArena Japanese | 1043 | 1352 |
| LMArena Korean | 1019 | 1357 |
| LMArena Russian | 1123 | 1389 |
| LMArena Spanish | 1121 | 1415 |
Instruction Following Grok 4 Fast leads
GPT-3.5-turbo: 57.9 (#262), Grok 4 Fast: 73.2 (#121)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| LMArena Instruction Following | 1119 | 1387 |
Long Context Grok 4 Fast leads
GPT-3.5-turbo: 34.0 (#254), Grok 4 Fast: 63.2 (#3)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| LMArena Longer Query | 1121 | 1415 |
| Fiction.LiveBench | — | 94.4% |
Writing & Preference Grok 4 Fast leads
GPT-3.5-turbo: 25.3 (#305), Grok 4 Fast: 60.0 (#102)
| Benchmark | GPT-3.5-turbo | Grok 4 Fast |
|---|---|---|
| LMArena Text | 1125 | 1407 |
| LMArena Creative Writing | 1092 | 1387 |
| LMArena Multi-Turn | 1117 | 1414 |
| EQ-Bench Creative Writing | 451 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Grok 4 Fast?
Grok 4 Fast is the stronger model overall, scoring 39.4 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or Grok 4 Fast better for coding?
Grok 4 Fast scores higher on coding benchmarks: 32.5 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Grok 4 Fast share?
21 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Grok 4 Fast has 30.