Model comparison
Gemini 2.5 Flash-Lite vs GPT-4
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.1 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and GPT-4 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 10.8.
- The biggest single-benchmark swing is WeirdML: 35.2% for Gemini 2.5 Flash-Lite and 12.4% for GPT-4.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $30 / $60 for GPT-4.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 8K.
Side by side
| Gemini 2.5 Flash-Lite | GPT-4 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.0 | 29.1 |
| Released | 2025-06-17 | 2023-03-14 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 8K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.10 | $30 |
| Output $ / M tokens | $0.40 | $60 |
| Results tracked | 33 | 38 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), GPT-4: 31.6 (#283)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| WeirdML | 35.2% | 12.4% |
| LMArena Coding | 1373 | 1254 |
| BigCodeBench Instruct | — | 46% |
| BigCodeBench Complete | — | 57.2% |
| ALE-Bench | 325.9 | — |
| HumanEval+ | — | 79.3% |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), GPT-4: —
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| METR Time Horizons | — | 36.1% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GPT-4: 17.8 (#289)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1241 |
| DTBench | 62.8% | 62.7% |
| LMCA | 18.1% | 17.1% |
| Epoch Capabilities Index | 133.94 | 125.89 |
| Kagi LLM Benchmark | 40.5% | — |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 12% |
| BIG-Bench Hard | — | 75.1% |
| ForecastBench | — | 57.8 |
| HellaSwag | — | 95.3% |
| WinoGrande | — | 87.5% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GPT-4: 10.8 (#309)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Math | 1373 | 1269 |
| OTIS Mock AIME 2024-2025 | — | 1.1% |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 23% |
| GSM8K | — | 92% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GPT-4: 18.4 (#282)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Expert | 1373 | 1211 |
| GPQA Diamond | — | 35.7% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| MMLU | — | 86.4% |
| TriviaQA | — | 84.8% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), GPT-4: —
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), GPT-4: 40.6 (#215)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Non-English | 1369 | 1246 |
| LMArena Chinese | 1404 | 1242 |
| LMArena French | 1388 | 1283 |
| LMArena German | 1389 | 1251 |
| LMArena Japanese | 1359 | 1209 |
| LMArena Korean | 1360 | 1184 |
| LMArena Russian | 1373 | 1251 |
| LMArena Spanish | 1396 | 1261 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), GPT-4: 65.3 (#222)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1241 |
| IFEval | 81% | — |
Long Context GPT-4 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GPT-4: 37.7 (#212)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Longer Query | 1373 | 1244 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), GPT-4: 34.9 (#268)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Text | 1379 | 1263 |
| LMArena Creative Writing | 1367 | 1244 |
| LMArena Multi-Turn | 1366 | 1257 |
| EQ-Bench Creative Writing | — | 752 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-4?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.1 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-4?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4 lists at $30 and $60.
Is Gemini 2.5 Flash-Lite or GPT-4 better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 31.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 8K.
How many benchmarks do Gemini 2.5 Flash-Lite and GPT-4 share?
21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-4 has 38.