Model comparison
Gemini 2.0 Flash-Lite vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 37.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 51.9.
Side by side
| Gemini 2.0 Flash-Lite | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 42.1 |
| Released | 2025-02-05 | 2026-03-03 |
| Weights | Proprietary | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 32 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 37.4 (#181), GPT-5.3 Chat: 40.8 (#124)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1322 | 1408 |
| LiveBench Coding | 47.1% | — |
Reasoning GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 21.2 (#203), GPT-5.3 Chat: 27.3 (#105)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1399 |
| LiveBench Reasoning | 50.1% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 65.5% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |
Math GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 31.8 (#192), GPT-5.3 Chat: 35.4 (#146)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1309 | 1389 |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
Knowledge GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 34.6 (#185), GPT-5.3 Chat: 38.2 (#137)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1305 | 1397 |
| MMLU-Pro | 72% | — |
| GPQA (HELM) | 50% | — |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 30.6 (#103), GPT-5.3 Chat: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 46.2 (#156), GPT-5.3 Chat: 50.5 (#119)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1323 | 1383 |
| LMArena Chinese | 1339 | 1433 |
| LMArena French | 1346 | 1398 |
| LMArena German | 1306 | 1384 |
| LMArena Japanese | 1302 | 1351 |
| LMArena Korean | 1325 | 1347 |
| LMArena Russian | 1328 | 1400 |
| LMArena Spanish | 1313 | 1371 |
Instruction Following GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 70.6 (#158), GPT-5.3 Chat: 73.0 (#124)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1305 | 1378 |
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |
Long Context GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 40.1 (#155), GPT-5.3 Chat: 42.6 (#115)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1321 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Gemini 2.0 Flash-Lite: 51.9 (#172), GPT-5.3 Chat: 63.3 (#65)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1330 | 1389 |
| LMArena Creative Writing | 1319 | 1356 |
| LMArena Multi-Turn | 1307 | 1413 |
| EQ-Bench Creative Writing | — | 1690 |
| WildBench | 79% | — |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 37.3 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 37.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and GPT-5.3 Chat share?
17 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GPT-5.3 Chat has 18.