Model comparison
Gemini 1.5 Flash (May 2024) vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 33.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
GoogleSummary
- They share 1 benchmark with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 22.1.
Side by side
| Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 33.2 | 52.3 |
| Released | 2024-05-14 | 2025-12-11 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $21 |
| Output $ / M tokens | — | $168 |
| Results tracked | 42 | 8 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Gemini 1.5 Flash (May 2024): 34.4 (#236), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| LMArena Coding | 1261 | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning GPT-5.2 Pro leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| Epoch Capabilities Index | 129.36 | 155.4 |
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 53.8% | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math GPT-5.2 Pro leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), GPT-5.2 Pro: 65.3 (#29)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| LMArena Math | 1269 | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
| GSM8K | 82.4% | — |
Knowledge Not comparable
Gemini 1.5 Flash (May 2024): 26.2 (#260), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| LMArena Expert | 1233 | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Not comparable
Gemini 1.5 Flash (May 2024): 42.9 (#189), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1278 | — |
| LMArena Chinese | 1295 | — |
| LMArena French | 1258 | — |
| LMArena German | 1262 | — |
| LMArena Japanese | 1252 | — |
| LMArena Korean | 1221 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1243 | — |
Instruction Following Not comparable
Gemini 1.5 Flash (May 2024): 66.8 (#205), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| IFEval | 83.1% | — |
| LMArena Instruction Following | 1258 | — |
Long Context Not comparable
Gemini 1.5 Flash (May 2024): 39.0 (#187), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1284 | — |
Writing & Preference Not comparable
Gemini 1.5 Flash (May 2024): 48.7 (#196), GPT-5.2 Pro: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1285 | — |
| WildBench | 79.2% | — |
| LMArena Multi-Turn | 1253 | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 33.2 on the Noometry Index.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-5.2 Pro share?
1 benchmark has published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-5.2 Pro has 8.