Model comparison
Gemini 2.5 Flash-Lite vs GPT-4.1 nano
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 27.9 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 9 categories and GPT-4.1 nano in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 40.5.
- The biggest single-benchmark swing is Fiction.LiveBench: 47.2% for Gemini 2.5 Flash-Lite and 25% for GPT-4.1 nano.
- Both cost about the same: $0.10 input and $0.40 output per million tokens.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 2.5 Flash-Lite | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.0 | 27.9 |
| Released | 2025-06-17 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.10 | $0.10 |
| Output $ / M tokens | $0.40 | $0.40 |
| Results tracked | 33 | 38 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), GPT-4.1 nano: 24.1 (#330)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| WeirdML | 35.2% | 19% |
| LMArena Coding | 1373 | 1306 |
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), GPT-4.1 nano: 26.5 (#104)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 33% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GPT-4.1 nano: 8.5 (#349)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 33.3% |
| LMArena Hard Prompts | 1377 | 1286 |
| DTBench | 62.8% | 52.5% |
| LMCA | 18.1% | 5.5% |
| Epoch Capabilities Index | 133.94 | 129.62 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GPT-4.1 nano: 26.9 (#252)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| Omni-MATH | 48% | 36.7% |
| LMArena Math | 1373 | 1274 |
| OTIS Mock AIME 2024-2025 | — | 28.9% |
| MATH Level 5 | — | 70% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GPT-4.1 nano: 21.8 (#273)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| MMLU-Pro | 53.7% | 55% |
| GPQA (HELM) | 30.9% | 50.7% |
| LMArena Expert | 1373 | 1272 |
| GPQA Diamond | — | 48.9% |
| SimpleQA Verified | — | 6% |
| Vectara Hallucination Rate | 3.3% | — |
Multimodal Too close to call
Gemini 2.5 Flash-Lite: 29.1 (#114), GPT-4.1 nano: 29.2 (#113)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | 1198 | 1063 |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), GPT-4.1 nano: 41.6 (#205)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 1369 | 1260 |
| LMArena Chinese | 1404 | 1270 |
| LMArena German | 1389 | 1288 |
| LMArena Japanese | 1359 | 1198 |
| LMArena Russian | 1373 | 1261 |
| LMArena French | 1388 | — |
| LMArena Korean | 1360 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), GPT-4.1 nano: 67.8 (#193)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| IFEval | 81% | 84.3% |
| LMArena Instruction Following | 1367 | 1267 |
Long Context Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GPT-4.1 nano: 23.7 (#296)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| Fiction.LiveBench | 47.2% | 25% |
| LMArena Longer Query | 1373 | 1283 |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), GPT-4.1 nano: 40.5 (#243)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1379 | 1285 |
| LMArena Creative Writing | 1367 | 1260 |
| WildBench | 81.8% | 81.2% |
| LMArena Multi-Turn | 1366 | 1277 |
| EQ-Bench Creative Writing | — | 946 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-4.1 nano?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 27.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-4.1 nano?
GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.
Is Gemini 2.5 Flash-Lite or GPT-4.1 nano better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 24.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 2.5 Flash-Lite and GPT-4.1 nano share?
27 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-4.1 nano has 38.