Model comparison
Gemini 1.5 Flash (May 2024) vs GPT-5 Nano
Gemini 1.5 Flash (May 2024) and GPT-5 Nano score almost the same on the Noometry Index (32.9 vs 33.4), so choose on price, context window or the category you care about most.
Last verified . 29 shared benchmarks.
GoogleSummary
- They share 29 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 6 categories and GPT-5 Nano in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Nano leads 35.8 to 26.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 81.1% for GPT-5 Nano.
Side by side
| Gemini 1.5 Flash (May 2024) | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 32.9 | 33.4 |
| Released | 2024-05-14 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 42 | 48 |
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Category by category
Coding Too close to call
Gemini 1.5 Flash (May 2024): 33.9 (#233), GPT-5 Nano: 33.3 (#248)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| WeirdML | 24.9% | 38.1% |
| LMArena Coding | 1262 | 1351 |
| SWE-bench Verified (bash only) | — | 34.8% |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 718.67 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Too close to call
Gemini 1.5 Flash (May 2024): 26.3 (#97), GPT-5 Nano: 25.6 (#99)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 20.8 (#212), GPT-5 Nano: 16.4 (#291)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1329 |
| DTBench | 53.8% | 62.7% |
| Epoch Capabilities Index | 129.37 | 139.39 |
| ForecastBench | 53.9 | 59.1 |
| ARC-AGI-2 | — | 2.6% |
| Kagi LLM Benchmark | — | 62.2% |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| Mystery Game Puzzles | — | 9% |
| LMCA | — | 7.9% |
| PIQA | 87.5% | — |
Math GPT-5 Nano leads
Gemini 1.5 Flash (May 2024): 20.8 (#274), GPT-5 Nano: 29.1 (#221)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 81.1% |
| Omni-MATH | 30.4% | 54.6% |
| LMArena Math | 1269 | 1318 |
| MATH Level 5 | 61.9% | 95.2% |
| FrontierMath (Feb 2025 set) | 0% | 8.3% |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| ProofBench | — | 12% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
| GSM8K | 82.4% | — |
Knowledge GPT-5 Nano leads
Gemini 1.5 Flash (May 2024): 26.2 (#253), GPT-5 Nano: 35.8 (#166)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 47.3% | 69.4% |
| MMLU-Pro | 67.8% | 77.8% |
| GPQA (HELM) | 43.7% | 67.9% |
| LMArena Expert | 1233 | 1321 |
| SimpleQA Verified | — | 11.7% |
| Vectara Hallucination Rate | — | 10.5% |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 35.3 (#76), GPT-5 Nano: 30.7 (#102)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1141 | 1159 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
| VPCT | — | 37.2% |
Multilingual GPT-5 Nano leads
Gemini 1.5 Flash (May 2024): 43.1 (#184), GPT-5 Nano: 45.5 (#167)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1278 | 1313 |
| LMArena Chinese | 1295 | 1355 |
| LMArena German | 1262 | 1329 |
| LMArena Korean | 1220 | 1269 |
| LMArena Russian | 1288 | 1296 |
| LMArena Spanish | 1242 | 1360 |
| LMArena French | 1257 | — |
| LMArena Japanese | 1252 | — |
Instruction Following GPT-5 Nano leads
Gemini 1.5 Flash (May 2024): 67.0 (#199), GPT-5 Nano: 75.2 (#72)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| IFEval | 83.1% | 93.2% |
| LMArena Instruction Following | 1258 | 1306 |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#182), GPT-5 Nano: 31.3 (#275)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1284 | 1313 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.9 (#190), GPT-5 Nano: 39.4 (#244)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1287 | 1320 |
| LMArena Creative Writing | 1285 | 1250 |
| WildBench | 79.2% | 80.6% |
| LMArena Multi-Turn | 1253 | 1311 |
| EQ-Bench Creative Writing | — | 705 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GPT-5 Nano?
Gemini 1.5 Flash (May 2024) and GPT-5 Nano score almost the same on the Noometry Index (32.9 vs 33.4), so choose on price, context window or the category you care about most.
Is Gemini 1.5 Flash (May 2024) or GPT-5 Nano better for coding?
They score almost the same on coding (33.9 vs 33.3); test both on your own repository before choosing.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-5 Nano share?
29 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-5 Nano has 48.