Model comparison
Gemini 1.5 Flash (May 2024) vs GPT-4 Turbo
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 30.5 on the Noometry Index.
Last verified . 30 shared benchmarks.
GoogleSummary
- They share 30 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 9 categories and GPT-4 Turbo in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 1.5 Flash (May 2024) leads 22.1 to 9.0.
- The biggest single-benchmark swing is MATH Level 5: 61.9% for Gemini 1.5 Flash (May 2024) and 46.7% for GPT-4 Turbo.
Side by side
| Gemini 1.5 Flash (May 2024) | GPT-4 Turbo | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 33.2 | 30.5 |
| Released | 2024-05-14 | 2023-11-06 |
| Weights | Proprietary | Proprietary |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $10 |
| Output $ / M tokens | — | $30 |
| Results tracked | 42 | 36 |
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Category by category
Coding Too close to call
Gemini 1.5 Flash (May 2024): 34.4 (#236), GPT-4 Turbo: 33.8 (#249)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| WeirdML | 24.9% | 18% |
| BigCodeBench Instruct | 43.5% | 48.2% |
| LMArena Coding | 1261 | 1268 |
| BigCodeBench Complete | 55.1% | 58.2% |
| HumanEval+ | 75.6% | 86.6% |
| MBPP+ | 67.5% | 73.3% |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), GPT-4 Turbo: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| BALROG | 14.6% | — |
| METR Time Horizons | — | 36.7% |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), GPT-4 Turbo: 15.3 (#317)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1251 |
| DTBench | 53.8% | 61.6% |
| Epoch Capabilities Index | 129.36 | 127.25 |
| ForecastBench | 53.9 | 59.4 |
| SimpleBench | — | 25.1% |
| Chess Puzzles | — | 6% |
| LMCA | — | 9.8% |
| PIQA | 87.5% | — |
Math Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), GPT-4 Turbo: 9.0 (#322)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 6.7% |
| LMArena Math | 1269 | 1272 |
| MATH Level 5 | 61.9% | 46.7% |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| Omni-MATH | 30.4% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), GPT-4 Turbo: 24.3 (#268)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| GPQA Diamond | 47.3% | 46.6% |
| LMArena Expert | 1233 | 1223 |
| MMLU | 77.9% | 81.3% |
| MMLU-Pro | 67.8% | — |
| Confabulations | — | 28.4% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
Multimodal Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 36.0 (#81), GPT-4 Turbo: 30.6 (#110)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | 1141 | 1090 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), GPT-4 Turbo: 40.5 (#216)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | 1278 | 1245 |
| LMArena Chinese | 1295 | 1242 |
| LMArena French | 1258 | 1276 |
| LMArena German | 1262 | 1259 |
| LMArena Japanese | 1252 | 1194 |
| LMArena Korean | 1221 | 1187 |
| LMArena Russian | 1288 | 1259 |
| LMArena Spanish | 1243 | 1260 |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), GPT-4 Turbo: 65.8 (#216)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | 1258 | 1249 |
| IFEval | 83.1% | — |
Long Context Too close to call
Gemini 1.5 Flash (May 2024): 39.0 (#187), GPT-4 Turbo: 38.0 (#206)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | 1284 | 1254 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), GPT-4 Turbo: 47.7 (#206)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4 Turbo |
|---|---|---|
| LMArena Text | 1287 | 1272 |
| LMArena Creative Writing | 1285 | 1269 |
| LMArena Multi-Turn | 1253 | 1267 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GPT-4 Turbo?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 30.5 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or GPT-4 Turbo better for coding?
They score almost the same on coding (34.4 vs 33.8); test both on your own repository before choosing.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-4 Turbo share?
30 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-4 Turbo has 36.