Model comparison
Gemini 2.0 Flash-Lite vs GPT-5
GPT-5 is the stronger model overall, scoring 50.9 to 37.8 on the Noometry Index.
Last verified . 25 shared benchmarks.
GoogleSummary
- They share 25 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 0 categories and GPT-5 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 40.1.
- The biggest single-benchmark swing is DTBench: 52.5% for Gemini 2.0 Flash-Lite and 90.7% for GPT-5.
Side by side
| Gemini 2.0 Flash-Lite | GPT-5 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.8 | 50.9 |
| Released | 2025-02-05 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 32 | 69 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 leads
Gemini 2.0 Flash-Lite: 37.9 (#185), GPT-5: 50.3 (#47)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| LMArena Coding | 1322 | 1436 |
| SWE-bench Verified | — | 73.6% |
| SWE-bench Verified (bash only) | — | 65% |
| Aider Polyglot | — | 88% |
| LMArena WebDev | — | 1418 |
| SciCode | — | 42.9% |
| GSO | — | 6.9% |
| WeirdML | — | 60.7% |
| LiveBench Coding | 47.1% | — |
| ALE-Bench | — | 1,162 |
| AlgoTune | — | 1.67 |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, GPT-5: 33.1 (#56)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| Terminal-Bench | — | 49.6% |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| DeepResearch Bench | — | 49.6% |
| BALROG | — | 32.8% |
| LMArena Search | — | 1133 |
| METR Time Horizons | — | 69.6% |
Reasoning GPT-5 leads
Gemini 2.0 Flash-Lite: 22.0 (#210), GPT-5: 38.3 (#64)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1416 |
| DTBench | 52.5% | 90.7% |
| ForecastBench | 57.1 | 61.4 |
| ARC-AGI-2 | — | 9.9% |
| SimpleBench | — | 56.7% |
| Kagi LLM Benchmark | — | 72.7% |
| ARC-AGI-1 | — | 65.7% |
| CritPt | — | 12.6% |
| Chess Puzzles | — | 37% |
| EnigmaEval | — | 10.5% |
| EBR-Bench | — | 12.7% |
| LiveBench Reasoning | 50.1% | — |
| Mystery Game Puzzles | — | 23% |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | — | 40% |
| Epoch Capabilities Index | — | 150 |
| LiveBench | 54.3% | — |
Math GPT-5 leads
Gemini 2.0 Flash-Lite: 34.1 (#196), GPT-5: 55.0 (#44)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| Omni-MATH | 37.4% | 64.7% |
| LMArena Math | 1309 | 1407 |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| OTIS Mock AIME 2024-2025 | — | 91.4% |
| ProofBench | — | 18% |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | — | 98.1% |
| FrontierMath (Feb 2025 set) | — | 32.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge GPT-5 leads
Gemini 2.0 Flash-Lite: 35.0 (#189), GPT-5: 56.6 (#43)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| MMLU-Pro | 72% | 86.3% |
| GPQA (HELM) | 50% | 79.2% |
| LMArena Expert | 1305 | 1419 |
| GPQA Diamond | — | 86.2% |
| Humanity's Last Exam | — | 25.3% |
| SimpleQA Verified | — | 50.1% |
| Confabulations | — | 10.3% |
| Vectara Hallucination Rate | — | 14.7% |
Multimodal GPT-5 leads
Gemini 2.0 Flash-Lite: 31.2 (#109), GPT-5: 46.8 (#13)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| LMArena Vision | 1100 | 1232 |
| GeoBench | — | 81% |
| VPCT | — | 66% |
Multilingual GPT-5 leads
Gemini 2.0 Flash-Lite: 46.0 (#161), GPT-5: 51.4 (#110)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| LMArena Non-English | 1323 | 1397 |
| LMArena Chinese | 1339 | 1422 |
| LMArena French | 1347 | 1410 |
| LMArena German | 1306 | 1416 |
| LMArena Japanese | 1301 | 1409 |
| LMArena Korean | 1325 | 1360 |
| LMArena Russian | 1328 | 1406 |
| LMArena Spanish | 1313 | 1399 |
Instruction Following GPT-5 leads
Gemini 2.0 Flash-Lite: 70.4 (#163), GPT-5: 73.8 (#113)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| IFEval | 82.4% | 87.5% |
| LMArena Instruction Following | 1305 | 1388 |
| LiveBench Instruction Following | 78.3% | — |
Long Context GPT-5 leads
Gemini 2.0 Flash-Lite: 40.1 (#160), GPT-5: 69.5 (#2)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| LMArena Longer Query | 1320 | 1399 |
| Fiction.LiveBench | — | 97.2% |
Writing & Preference GPT-5 leads
Gemini 2.0 Flash-Lite: 51.7 (#177), GPT-5: 63.4 (#65)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5 |
|---|---|---|
| LMArena Text | 1330 | 1406 |
| LMArena Creative Writing | 1319 | 1365 |
| WildBench | 79% | 85.7% |
| LMArena Multi-Turn | 1307 | 1426 |
| Short-Story Creative Writing | — | 86% |
| EQ-Bench Creative Writing | — | 1627 |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than GPT-5?
GPT-5 is the stronger model overall, scoring 50.9 to 37.8 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or GPT-5 better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 37.9 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and GPT-5 share?
25 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GPT-5 has 69.