Model comparison
Gemini 2.5 Flash-Lite vs GPT-5 Nano
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 33.5 on the Noometry Index.
Last verified . 32 shared benchmarks.
GoogleSummary
- They share 32 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and GPT-5 Nano in 3 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 39.1.
- The biggest single-benchmark swing is GPQA (HELM): 30.9% for Gemini 2.5 Flash-Lite and 67.9% for GPT-5 Nano.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.10 / $0.40 for Gemini 2.5 Flash-Lite.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 400K.
Side by side
| Gemini 2.5 Flash-Lite | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.0 | 33.5 |
| Released | 2025-06-17 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.10 | $0.05 |
| Output $ / M tokens | $0.40 | $0.40 |
| Results tracked | 33 | 49 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), GPT-5 Nano: 33.6 (#254)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| WeirdML | 35.2% | 38.1% |
| LMArena Coding | 1373 | 1351 |
| ALE-Bench | 325.9 | 718.67 |
| SWE-bench Verified (bash only) | — | 34.8% |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), GPT-5 Nano: 25.8 (#106)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 51.5% |
| Terminal-Bench | — | 21.8% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GPT-5 Nano: 16.3 (#306)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 62.2% |
| LMArena Hard Prompts | 1377 | 1328 |
| DTBench | 62.8% | 62.7% |
| LMCA | 18.1% | 7.9% |
| Epoch Capabilities Index | 133.94 | 139.38 |
| ARC-AGI-2 | — | 2.6% |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| Mystery Game Puzzles | — | 9% |
| ForecastBench | — | 59.1 |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GPT-5 Nano: 29.4 (#241)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| Omni-MATH | 48% | 54.6% |
| LMArena Math | 1373 | 1317 |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| OTIS Mock AIME 2024-2025 | — | 81.1% |
| ProofBench | — | 12% |
| MATH Level 5 | — | 95.2% |
| FrontierMath (Feb 2025 set) | — | 8.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5 Nano leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GPT-5 Nano: 35.9 (#178)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| MMLU-Pro | 53.7% | 77.8% |
| Vectara Hallucination Rate | 3.3% | 10.5% |
| GPQA (HELM) | 30.9% | 67.9% |
| LMArena Expert | 1373 | 1321 |
| GPQA Diamond | — | 69.4% |
| SimpleQA Verified | — | 11.7% |
Multimodal GPT-5 Nano leads
Gemini 2.5 Flash-Lite: 29.1 (#114), GPT-5 Nano: 31.3 (#108)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1198 | 1159 |
| VPCT | 30% | 37.2% |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), GPT-5 Nano: 45.3 (#172)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1369 | 1313 |
| LMArena Chinese | 1404 | 1356 |
| LMArena German | 1389 | 1327 |
| LMArena Japanese | 1359 | 1226 |
| LMArena Korean | 1360 | 1269 |
| LMArena Russian | 1373 | 1296 |
| LMArena Spanish | 1396 | 1360 |
| LMArena French | 1388 | — |
Instruction Following GPT-5 Nano leads
Gemini 2.5 Flash-Lite: 70.0 (#168), GPT-5 Nano: 75.0 (#79)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| IFEval | 81% | 93.2% |
| LMArena Instruction Following | 1367 | 1306 |
Long Context Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GPT-5 Nano: 31.3 (#281)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| Fiction.LiveBench | 47.2% | 44.4% |
| LMArena Longer Query | 1373 | 1312 |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), GPT-5 Nano: 39.1 (#249)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1379 | 1320 |
| LMArena Creative Writing | 1367 | 1249 |
| WildBench | 81.8% | 80.6% |
| LMArena Multi-Turn | 1366 | 1311 |
| EQ-Bench Creative Writing | — | 705 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-5 Nano?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 33.5 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-5 Nano?
GPT-5 Nano is cheaper. It lists at $0.05 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-5 Nano better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 33.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 400K.
How many benchmarks do Gemini 2.5 Flash-Lite and GPT-5 Nano share?
32 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-5 Nano has 49.