Model comparison
Gemini 2.5 Flash-Lite vs GPT-4.1
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 35.9 on the Noometry Index.
Last verified . 32 shared benchmarks.
Summary
- They share 32 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 3 categories and GPT-4.1 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 22.3.
- The biggest single-benchmark swing is GPQA (HELM): 30.9% for Gemini 2.5 Flash-Lite and 65.9% for GPT-4.1.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $2 / $8 for GPT-4.1.
- 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 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.0 | 35.9 |
| 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 | $2 |
| Output $ / M tokens | $0.40 | $8 |
| Results tracked | 33 | 52 |
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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: 34.4 (#238)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| WeirdML | 35.2% | 39% |
| LMArena Coding | 1373 | 1391 |
| ALE-Bench | 325.9 | 558.1 |
| SWE-bench Verified | — | 48.5% |
| SWE-bench Verified (bash only) | — | 39.6% |
| Aider Polyglot | — | 52.4% |
| CadEval | — | 42% |
Agentic & Tool Use GPT-4.1 leads
Gemini 2.5 Flash-Lite: 28.0 (#96), GPT-4.1: 34.7 (#43)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 54% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GPT-4.1: 11.7 (#339)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 52.3% |
| LMArena Hard Prompts | 1377 | 1384 |
| DTBench | 62.8% | 68.3% |
| LMCA | 18.1% | 25.6% |
| Epoch Capabilities Index | 133.94 | 136.78 |
| ARC-AGI-2 | — | 0.4% |
| SimpleBench | — | 27% |
| ARC-AGI-1 | — | 5.5% |
| Chess Puzzles | — | 6% |
| EnigmaEval | — | 2.2% |
| ForecastBench | — | 61.5 |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GPT-4.1: 22.3 (#280)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| Omni-MATH | 48% | 47.1% |
| LMArena Math | 1373 | 1370 |
| FrontierMath (Tiers 1-3) | — | 6% |
| OTIS Mock AIME 2024-2025 | — | 38.3% |
| MATH Level 5 | — | 83% |
| FrontierMath (Feb 2025 set) | — | 5.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge GPT-4.1 leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GPT-4.1: 37.1 (#160)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| MMLU-Pro | 53.7% | 81.1% |
| Vectara Hallucination Rate | 3.3% | 5.6% |
| GPQA (HELM) | 30.9% | 65.9% |
| LMArena Expert | 1373 | 1364 |
| GPQA Diamond | — | 66.9% |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | — | 31.1% |
Multimodal GPT-4.1 leads
Gemini 2.5 Flash-Lite: 29.1 (#114), GPT-4.1: 38.2 (#67)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| LMArena Vision | 1198 | 1211 |
| GeoBench | — | 72% |
| VPCT | 30% | — |
Multilingual Too close to call
Gemini 2.5 Flash-Lite: 49.3 (#134), GPT-4.1: 49.4 (#133)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| LMArena Non-English | 1369 | 1370 |
| LMArena Chinese | 1404 | 1382 |
| LMArena French | 1388 | 1382 |
| LMArena German | 1389 | 1381 |
| LMArena Japanese | 1359 | 1319 |
| LMArena Korean | 1360 | 1339 |
| LMArena Russian | 1373 | 1377 |
| LMArena Spanish | 1396 | 1376 |
Instruction Following GPT-4.1 leads
Gemini 2.5 Flash-Lite: 70.0 (#168), GPT-4.1: 71.3 (#153)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| IFEval | 81% | 83.8% |
| LMArena Instruction Following | 1367 | 1367 |
Long Context GPT-4.1 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GPT-4.1: 40.0 (#163)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| Fiction.LiveBench | 47.2% | 63.9% |
| LMArena Longer Query | 1373 | 1385 |
Writing & Preference Too close to call
Gemini 2.5 Flash-Lite: 56.8 (#135), GPT-4.1: 57.6 (#125)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 |
|---|---|---|
| LMArena Text | 1379 | 1383 |
| LMArena Creative Writing | 1367 | 1363 |
| WildBench | 81.8% | 85.4% |
| LMArena Multi-Turn | 1366 | 1398 |
| EQ-Bench Creative Writing | — | 1420 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-4.1?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 35.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-4.1?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4.1 lists at $2 and $8.
Is Gemini 2.5 Flash-Lite or GPT-4.1 better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 34.4 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 share?
32 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-4.1 has 52.