Model comparison
Gemini 2.0 Flash-Lite vs GPT-3.5-turbo
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 23.2 on the Noometry Index.
Last verified . 19 shared benchmarks.
GoogleSummary
- They share 19 benchmarks with published results for both. Gemini 2.0 Flash-Lite 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-Lite leads 34.1 to 6.3.
Side by side
| Gemini 2.0 Flash-Lite | GPT-3.5-turbo | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.8 | 23.2 |
| Released | 2025-02-05 | 2023-03-01 |
| Weights | Proprietary | Proprietary |
| Context window | — | 16K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $1.50 |
| Results tracked | 32 | 44 |
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Category by category
Coding Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 37.9 (#185), GPT-3.5-turbo: 23.9 (#331)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Coding | 1322 | 1136 |
| WeirdML | — | 3.5% |
| BigCodeBench Instruct | — | 39.1% |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | — | 50.6% |
| HumanEval+ | — | 70.7% |
| MBPP+ | — | 69.7% |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, GPT-3.5-turbo: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| METR Time Horizons | — | 21.5% |
Reasoning Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 22.0 (#210), GPT-3.5-turbo: 13.8 (#332)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1108 |
| DTBench | 52.5% | 48.5% |
| ForecastBench | 57.1 | 50.4 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 50.1% | — |
| Mystery Game Puzzles | — | 3% |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | — | 9.7% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 61.6% |
| CommonsenseQA 2.0 | — | 57% |
| Epoch Capabilities Index | — | 118.55 |
| LiveBench | 54.3% | — |
| WinoGrande | — | 81.6% |
Math Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 34.1 (#196), GPT-3.5-turbo: 6.3 (#327)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Math | 1309 | 1142 |
| FrontierMath (Tiers 1-3) | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 2.2% |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | — | 15.9% |
| GSM8K | — | 57.8% |
Knowledge Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 35.0 (#189), GPT-3.5-turbo: 10.0 (#303)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Expert | 1305 | 1070 |
| GPQA Diamond | — | 28% |
| MMLU-Pro | 72% | — |
| GPQA (HELM) | 50% | — |
| ARC (AI2) Challenge | — | 87.4% |
| BoolQ | — | 87% |
| MMLU | — | 71.4% |
| OpenBookQA | — | 86% |
| TriviaQA | — | 85.8% |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 31.2 (#109), GPT-3.5-turbo: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 46.0 (#161), GPT-3.5-turbo: 31.5 (#258)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Non-English | 1323 | 1108 |
| LMArena Chinese | 1339 | 1075 |
| LMArena French | 1347 | 1118 |
| LMArena German | 1306 | 1090 |
| LMArena Japanese | 1301 | 1043 |
| LMArena Korean | 1325 | 1019 |
| LMArena Russian | 1328 | 1123 |
| LMArena Spanish | 1313 | 1121 |
Instruction Following Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 70.4 (#163), GPT-3.5-turbo: 57.9 (#262)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Instruction Following | 1305 | 1119 |
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |
Long Context Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 40.1 (#160), GPT-3.5-turbo: 34.0 (#254)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Longer Query | 1320 | 1121 |
Writing & Preference Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 51.7 (#177), GPT-3.5-turbo: 25.3 (#305)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-3.5-turbo |
|---|---|---|
| LMArena Text | 1330 | 1125 |
| LMArena Creative Writing | 1319 | 1092 |
| LMArena Multi-Turn | 1307 | 1117 |
| EQ-Bench Creative Writing | — | 451 |
| WildBench | 79% | — |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than GPT-3.5-turbo?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 23.2 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or GPT-3.5-turbo better for coding?
Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 23.9 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and GPT-3.5-turbo share?
19 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GPT-3.5-turbo has 44.