Model comparison
Gemini 2.5 Flash-Lite vs GPT-4o
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.6 on the Noometry Index.
Last verified . 30 shared benchmarks.
GoogleSummary
- They share 30 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and GPT-4o in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 10.6.
- The biggest single-benchmark swing is GPQA (HELM): 30.9% for Gemini 2.5 Flash-Lite and 52% for GPT-4o.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 128K.
Side by side
| Gemini 2.5 Flash-Lite | GPT-4o | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.0 | 28.6 |
| Released | 2025-06-17 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 128K |
| Max output | 66K | 16K |
| Input $ / M tokens | $0.10 | $2.50 |
| Output $ / M tokens | $0.40 | $10 |
| Results tracked | 33 | 72 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), GPT-4o: 24.8 (#328)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| WeirdML | 35.2% | 25.1% |
| LMArena Coding | 1373 | 1297 |
| SWE-bench Verified | — | 31% |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| GSO | — | 0% |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| ALE-Bench | 325.9 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), GPT-4o: 21.0 (#141)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| Cybench | — | 12.5% |
| BALROG | — | 32.3% |
| LMArena Search | — | 1006 |
| METR Time Horizons | — | 40.8% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GPT-4o: 9.4 (#343)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1281 |
| DTBench | 62.8% | 64.5% |
| LMCA | 18.1% | 16.6% |
| Epoch Capabilities Index | 133.94 | 128.97 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 17.8% |
| Kagi LLM Benchmark | 40.5% | — |
| ARC-AGI-1 | — | 4.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 13% |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | — | 55.8% |
| LiveBench Data Analysis | — | 60.9% |
| ForecastBench | — | 57.7 |
| LiveBench | — | 55.3% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GPT-4o: 10.6 (#312)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| Omni-MATH | 48% | 29.3% |
| LMArena Math | 1373 | 1285 |
| FrontierMath (Tiers 1-3) | — | 0.4% |
| OTIS Mock AIME 2024-2025 | — | 6.4% |
| LiveBench Math | — | 49.5% |
| MATH Level 5 | — | 53.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GPT-4o: 28.8 (#242)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| MMLU-Pro | 53.7% | 71.3% |
| Vectara Hallucination Rate | 3.3% | 9.6% |
| GPQA (HELM) | 30.9% | 52% |
| LMArena Expert | 1373 | 1250 |
| GPQA Diamond | — | 49.2% |
| Humanity's Last Exam | — | 2.7% |
| SimpleQA Verified | — | 26% |
| Confabulations | — | 15.3% |
| MMLU | — | 88.1% |
Multimodal GPT-4o leads
Gemini 2.5 Flash-Lite: 29.1 (#114), GPT-4o: 34.5 (#91)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| LMArena Vision | 1198 | 1137 |
| VPCT | 30% | 40% |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| ScienceQA | — | 88.5% |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), GPT-4o: 43.2 (#186)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| LMArena Non-English | 1369 | 1283 |
| LMArena Chinese | 1404 | 1277 |
| LMArena French | 1388 | 1304 |
| LMArena German | 1389 | 1282 |
| LMArena Japanese | 1359 | 1257 |
| LMArena Korean | 1360 | 1234 |
| LMArena Russian | 1373 | 1286 |
| LMArena Spanish | 1396 | 1292 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), GPT-4o: 66.6 (#207)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| IFEval | 81% | 81.7% |
| LMArena Instruction Following | 1367 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
Long Context GPT-4o leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GPT-4o: 39.4 (#179)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| Fiction.LiveBench | 47.2% | 66.7% |
| LMArena Longer Query | 1373 | 1289 |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), GPT-4o: 52.6 (#166)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4o |
|---|---|---|
| LMArena Text | 1379 | 1300 |
| LMArena Creative Writing | 1367 | 1292 |
| WildBench | 81.8% | 82.8% |
| LMArena Multi-Turn | 1366 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| LiveBench Language | — | 47.6% |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-4o?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.6 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-4o?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4o lists at $2.50 and $10.
Is Gemini 2.5 Flash-Lite or GPT-4o better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 24.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Flash-Lite and GPT-4o share?
30 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-4o has 72.