Model comparison
Gemini 1.5 Flash 8B vs GPT-5 Nano
GPT-5 Nano is the stronger model overall, scoring 33.5 to 29.9 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Gemini 1.5 Flash 8B scores higher in 4 categories and GPT-5 Nano in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Nano leads 35.9 to 16.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.6% for Gemini 1.5 Flash 8B and 81.1% for GPT-5 Nano.
Side by side
| Gemini 1.5 Flash 8B | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.9 | 33.5 |
| Released | 2024-10-03 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 21 | 49 |
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Category by category
Coding Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 35.5 (#225), GPT-5 Nano: 33.6 (#254)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| LMArena Coding | 1218 | 1351 |
| SWE-bench Verified (bash only) | — | 34.8% |
| WeirdML | — | 38.1% |
| ALE-Bench | — | 718.67 |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash 8B: —, GPT-5 Nano: 25.8 (#106)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
Reasoning Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 20.0 (#244), GPT-5 Nano: 16.3 (#306)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| LMArena Hard Prompts | 1209 | 1328 |
| DTBench | 50% | 62.7% |
| 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% |
| Epoch Capabilities Index | — | 139.38 |
| ForecastBench | — | 59.1 |
Math GPT-5 Nano leads
Gemini 1.5 Flash 8B: 14.2 (#302), GPT-5 Nano: 29.4 (#241)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.6% | 81.1% |
| LMArena Math | 1207 | 1317 |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| ProofBench | — | 12% |
| Omni-MATH | — | 54.6% |
| MATH Level 5 | — | 95.2% |
| FrontierMath (Feb 2025 set) | — | 8.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5 Nano leads
Gemini 1.5 Flash 8B: 16.0 (#289), GPT-5 Nano: 35.9 (#178)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 33% | 69.4% |
| LMArena Expert | 1185 | 1321 |
| SimpleQA Verified | — | 11.7% |
| MMLU-Pro | — | 77.8% |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | — | 67.9% |
Multimodal GPT-5 Nano leads
Gemini 1.5 Flash 8B: 28.2 (#115), GPT-5 Nano: 31.3 (#108)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1044 | 1159 |
| VPCT | — | 37.2% |
Multilingual GPT-5 Nano leads
Gemini 1.5 Flash 8B: 38.5 (#229), GPT-5 Nano: 45.3 (#172)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1215 | 1313 |
| LMArena Chinese | 1231 | 1356 |
| LMArena German | 1206 | 1327 |
| LMArena Japanese | 1150 | 1226 |
| LMArena Korean | 1140 | 1269 |
| LMArena Russian | 1236 | 1296 |
| LMArena Spanish | 1212 | 1360 |
| LMArena French | 1234 | — |
Instruction Following GPT-5 Nano leads
Gemini 1.5 Flash 8B: 62.8 (#236), GPT-5 Nano: 75.0 (#79)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| LMArena Instruction Following | 1199 | 1306 |
| IFEval | — | 93.2% |
Long Context Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 37.0 (#225), GPT-5 Nano: 31.3 (#281)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1219 | 1312 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 42.8 (#232), GPT-5 Nano: 39.1 (#249)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1226 | 1320 |
| LMArena Creative Writing | 1218 | 1249 |
| LMArena Multi-Turn | 1185 | 1311 |
| EQ-Bench Creative Writing | — | 705 |
| WildBench | — | 80.6% |
Frequently asked questions
Is Gemini 1.5 Flash 8B better than GPT-5 Nano?
GPT-5 Nano is the stronger model overall, scoring 33.5 to 29.9 on the Noometry Index.
Is Gemini 1.5 Flash 8B or GPT-5 Nano better for coding?
Gemini 1.5 Flash 8B scores higher on coding benchmarks: 35.5 versus 33.6 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash 8B and GPT-5 Nano share?
20 benchmarks have published results for both models. Gemini 1.5 Flash 8B has 21 scored results on Noometry and GPT-5 Nano has 49.