Model comparison
Gemini 3.1 Flash Lite vs GPT-5 Nano
Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.8 to 33.5 on the Noometry Index. GPT-5 Nano costs 4.1× less per token, which makes it the better buy when Gemini 3.1 Flash Lite's lead doesn't matter for your workload.
Last verified . 29 shared benchmarks.
GoogleSummary
- They share 29 benchmarks with published results for both. Gemini 3.1 Flash Lite scores higher in 9 categories and GPT-5 Nano in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 3.1 Flash Lite leads 60.9 to 39.1.
- The biggest single-benchmark swing is LMCA: 35% for Gemini 3.1 Flash Lite and 7.9% for GPT-5 Nano.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.25 / $1.50 for Gemini 3.1 Flash Lite.
- Gemini 3.1 Flash Lite accepts more context: 1.05M tokens versus 400K.
Side by side
| Gemini 3.1 Flash Lite | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 40.8 | 33.5 |
| Released | 2026-03-03 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.25 | $0.05 |
| Output $ / M tokens | $1.50 | $0.40 |
| Results tracked | 38 | 49 |
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Category by category
Coding Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 37.8 (#188), GPT-5 Nano: 33.6 (#254)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| WeirdML | 52.2% | 38.1% |
| LMArena Coding | 1400 | 1351 |
| ALE-Bench | 797.73 | 718.67 |
| SWE-bench Verified (bash only) | — | 34.8% |
| LMArena WebDev | 1256 | — |
| SciCode | 41.9% | — |
Agentic & Tool Use Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 30.2 (#79), GPT-5 Nano: 25.8 (#106)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
| DeepResearch Bench | 37.3% | — |
Reasoning Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 22.9 (#186), GPT-5 Nano: 16.3 (#306)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| Kagi LLM Benchmark | 67.2% | 62.2% |
| Chess Puzzles | 25% | 27% |
| LMArena Hard Prompts | 1407 | 1328 |
| DTBench | 76.8% | 62.7% |
| LMCA | 35% | 7.9% |
| Epoch Capabilities Index | 144.47 | 139.38 |
| ForecastBench | 54.4 | 59.1 |
| ARC-AGI-2 | — | 2.6% |
| NYT Connections (extended) | 8.2% | — |
| ARC-AGI-1 | — | 20.7% |
| CritPt | 1.1% | — |
| EnigmaEval | 3% | — |
| Thematic Generalization | 63.3% | — |
| Mystery Game Puzzles | — | 9% |
Math Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 40.7 (#90), GPT-5 Nano: 29.4 (#241)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| FrontierMath (Tiers 1-3) | 27.7% | 20% |
| OTIS Mock AIME 2024-2025 | 80% | 81.1% |
| LMArena Math | 1428 | 1317 |
| 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 Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 41.9 (#104), GPT-5 Nano: 35.9 (#178)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 81.8% | 69.4% |
| Vectara Hallucination Rate | 8.2% | 10.5% |
| LMArena Expert | 1398 | 1321 |
| Humanity's Last Exam | 8.6% | — |
| SimpleQA Verified | — | 11.7% |
| MMLU-Pro | — | 77.8% |
| GPQA (HELM) | — | 67.9% |
Multimodal Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 39.4 (#60), GPT-5 Nano: 31.3 (#108)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1240 | 1159 |
| VPCT | — | 37.2% |
Multilingual Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 52.3 (#86), GPT-5 Nano: 45.3 (#172)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1411 | 1313 |
| LMArena Chinese | 1461 | 1356 |
| LMArena German | 1429 | 1327 |
| LMArena Japanese | 1413 | 1226 |
| LMArena Korean | 1392 | 1269 |
| LMArena Russian | 1420 | 1296 |
| LMArena Spanish | 1421 | 1360 |
| LMArena French | 1424 | — |
Instruction Following GPT-5 Nano leads
Gemini 3.1 Flash Lite: 72.7 (#131), GPT-5 Nano: 75.0 (#79)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| LMArena Instruction Following | 1377 | 1306 |
| IFEval | — | 93.2% |
Long Context Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 42.5 (#122), GPT-5 Nano: 31.3 (#281)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1394 | 1312 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemini 3.1 Flash Lite leads
Gemini 3.1 Flash Lite: 60.9 (#94), GPT-5 Nano: 39.1 (#249)
| Benchmark | Gemini 3.1 Flash Lite | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1416 | 1320 |
| LMArena Creative Writing | 1401 | 1249 |
| LMArena Multi-Turn | 1417 | 1311 |
| EQ-Bench Creative Writing | — | 705 |
| WildBench | — | 80.6% |
Frequently asked questions
Is Gemini 3.1 Flash Lite better than GPT-5 Nano?
Gemini 3.1 Flash Lite is the stronger model overall, scoring 40.8 to 33.5 on the Noometry Index. GPT-5 Nano costs 4.1× less per token, which makes it the better buy when Gemini 3.1 Flash Lite's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 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 3.1 Flash Lite lists at $0.25 and $1.50.
Is Gemini 3.1 Flash Lite or GPT-5 Nano better for coding?
Gemini 3.1 Flash Lite scores higher on coding benchmarks: 37.8 versus 33.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Flash Lite does, with 1.05M tokens against 400K.
How many benchmarks do Gemini 3.1 Flash Lite and GPT-5 Nano share?
29 benchmarks have published results for both models. Gemini 3.1 Flash Lite has 38 scored results on Noometry and GPT-5 Nano has 49.