Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-3.5-turbo
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 23.1 on the Noometry Index.
Last verified . 27 shared benchmarks.
GoogleSummary
- They share 27 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 8 categories and GPT-3.5-turbo in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash (Feb 2025) leads 36.1 to 6.0.
- The biggest single-benchmark swing is MATH Level 5: 82.2% for Gemini 2.0 Flash (Feb 2025) and 15.9% for GPT-3.5-turbo.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 34.8 | 23.1 |
| Released | 2024-12-06 | 2023-03-01 |
| Weights | Proprietary | Proprietary |
| Context window | — | 16K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $1.50 |
| Results tracked | 54 | 44 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), GPT-3.5-turbo: 23.5 (#326)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| WeirdML | 25.8% | 3.5% |
| BigCodeBench Instruct | 45.9% | 39.1% |
| LMArena Coding | 1351 | 1137 |
| BigCodeBench Complete | 59.9% | 50.6% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| LiveBench Coding | 63.4% | — |
| CadEval | 30% | — |
| HumanEval+ | — | 70.7% |
| MBPP+ | — | 69.7% |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), GPT-3.5-turbo: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| TheAgentCompany | 11.4% | — |
| METR Time Horizons | — | 21.5% |
Reasoning Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), GPT-3.5-turbo: 13.3 (#328)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1108 |
| DTBench | 63.2% | 48.5% |
| Epoch Capabilities Index | 135.36 | 118.48 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 3% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 9.7% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 61.6% |
| CommonsenseQA 2.0 | — | 57% |
| ForecastBench | — | 50.4 |
| LiveBench | 66.9% | — |
| WinoGrande | — | 81.6% |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), GPT-3.5-turbo: 6.0 (#321)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 2.2% |
| LMArena Math | 1351 | 1142 |
| MATH Level 5 | 82.2% | 15.9% |
| FrontierMath (Tiers 1-3) | — | 0% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
| GSM8K | — | 57.8% |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), GPT-3.5-turbo: 10.0 (#298)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| GPQA Diamond | 64.1% | 28% |
| LMArena Expert | 1340 | 1070 |
| MMLU | 79.7% | 71.4% |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| ARC (AI2) Challenge | — | 87.4% |
| BoolQ | — | 87% |
| OpenBookQA | — | 86% |
| TriviaQA | — | 85.8% |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), GPT-3.5-turbo: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), GPT-3.5-turbo: 31.6 (#253)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| LMArena Non-English | 1342 | 1108 |
| LMArena Chinese | 1373 | 1075 |
| LMArena French | 1390 | 1117 |
| LMArena German | 1354 | 1090 |
| LMArena Japanese | 1293 | 1043 |
| LMArena Korean | 1314 | 1019 |
| LMArena Russian | 1351 | 1123 |
| LMArena Spanish | 1363 | 1120 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), GPT-3.5-turbo: 58.1 (#257)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| LMArena Instruction Following | 1336 | 1119 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), GPT-3.5-turbo: 34.0 (#249)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| LMArena Longer Query | 1345 | 1121 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), GPT-3.5-turbo: 25.4 (#300)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-3.5-turbo |
|---|---|---|
| LMArena Text | 1354 | 1125 |
| LMArena Creative Writing | 1340 | 1092 |
| EQ-Bench Creative Writing | 1128 | 451 |
| LMArena Multi-Turn | 1350 | 1117 |
| Short-Story Creative Writing | 73.8% | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-3.5-turbo?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 23.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-3.5-turbo better for coding?
Gemini 2.0 Flash (Feb 2025) scores higher on coding benchmarks: 28.2 versus 23.5 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-3.5-turbo share?
27 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-3.5-turbo has 44.