Model comparison
Gemini 1.5 Flash 8B vs GPT-4.1 nano
Gemini 1.5 Flash 8B is the stronger model overall, scoring 29.9 to 27.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemini 1.5 Flash 8B scores higher in 4 categories and GPT-4.1 nano in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 1.5 Flash 8B leads 37.0 to 23.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.6% for Gemini 1.5 Flash 8B and 28.9% for GPT-4.1 nano.
Side by side
| Gemini 1.5 Flash 8B | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.9 | 27.9 |
| Released | 2024-10-03 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 21 | 38 |
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Category by category
Coding Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 35.5 (#225), GPT-4.1 nano: 24.1 (#330)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| LMArena Coding | 1218 | 1306 |
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| WeirdML | — | 19% |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash 8B: —, GPT-4.1 nano: 26.5 (#104)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
Reasoning Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 20.0 (#244), GPT-4.1 nano: 8.5 (#349)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| LMArena Hard Prompts | 1209 | 1286 |
| DTBench | 50% | 52.5% |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| LMCA | — | 5.5% |
| Epoch Capabilities Index | — | 129.62 |
Math GPT-4.1 nano leads
Gemini 1.5 Flash 8B: 14.2 (#302), GPT-4.1 nano: 26.9 (#252)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.6% | 28.9% |
| LMArena Math | 1207 | 1274 |
| Omni-MATH | — | 36.7% |
| MATH Level 5 | — | 70% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge GPT-4.1 nano leads
Gemini 1.5 Flash 8B: 16.0 (#289), GPT-4.1 nano: 21.8 (#273)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | 33% | 48.9% |
| LMArena Expert | 1185 | 1272 |
| SimpleQA Verified | — | 6% |
| MMLU-Pro | — | 55% |
| GPQA (HELM) | — | 50.7% |
Multimodal GPT-4.1 nano leads
Gemini 1.5 Flash 8B: 28.2 (#115), GPT-4.1 nano: 29.2 (#113)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | 1044 | 1063 |
Multilingual GPT-4.1 nano leads
Gemini 1.5 Flash 8B: 38.5 (#229), GPT-4.1 nano: 41.6 (#205)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 1215 | 1260 |
| LMArena Chinese | 1231 | 1270 |
| LMArena German | 1206 | 1288 |
| LMArena Japanese | 1150 | 1198 |
| LMArena Russian | 1236 | 1261 |
| LMArena French | 1234 | — |
| LMArena Korean | 1140 | — |
| LMArena Spanish | 1212 | — |
Instruction Following GPT-4.1 nano leads
Gemini 1.5 Flash 8B: 62.8 (#236), GPT-4.1 nano: 67.8 (#193)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| LMArena Instruction Following | 1199 | 1267 |
| IFEval | — | 84.3% |
Long Context Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 37.0 (#225), GPT-4.1 nano: 23.7 (#296)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| LMArena Longer Query | 1219 | 1283 |
| Fiction.LiveBench | — | 25% |
Writing & Preference Gemini 1.5 Flash 8B leads
Gemini 1.5 Flash 8B: 42.8 (#232), GPT-4.1 nano: 40.5 (#243)
| Benchmark | Gemini 1.5 Flash 8B | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1226 | 1285 |
| LMArena Creative Writing | 1218 | 1260 |
| LMArena Multi-Turn | 1185 | 1277 |
| EQ-Bench Creative Writing | — | 946 |
| WildBench | — | 81.2% |
Frequently asked questions
Is Gemini 1.5 Flash 8B better than GPT-4.1 nano?
Gemini 1.5 Flash 8B is the stronger model overall, scoring 29.9 to 27.9 on the Noometry Index.
Is Gemini 1.5 Flash 8B or GPT-4.1 nano better for coding?
Gemini 1.5 Flash 8B scores higher on coding benchmarks: 35.5 versus 24.1 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash 8B and GPT-4.1 nano share?
18 benchmarks have published results for both models. Gemini 1.5 Flash 8B has 21 scored results on Noometry and GPT-4.1 nano has 38.