Model comparison
Gemini 2.5 Flash-Lite vs GPT-4.1 mini
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 33.6 on the Noometry Index.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 6 categories and GPT-4.1 mini in 4 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 24.1.
- The biggest single-benchmark swing is GPQA (HELM): 30.9% for Gemini 2.5 Flash-Lite and 61.4% for GPT-4.1 mini.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- 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 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.0 | 33.6 |
| 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 | $0.40 |
| Output $ / M tokens | $0.40 | $1.60 |
| Results tracked | 33 | 47 |
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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 mini: 30.6 (#293)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| WeirdML | 35.2% | 37.6% |
| LMArena Coding | 1373 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use GPT-4.1 mini leads
Gemini 2.5 Flash-Lite: 28.0 (#96), GPT-4.1 mini: 33.3 (#55)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 50.5% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), GPT-4.1 mini: 10.8 (#340)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 48.6% |
| LMArena Hard Prompts | 1377 | 1349 |
| DTBench | 62.8% | 68.8% |
| LMCA | 18.1% | 21.1% |
| Epoch Capabilities Index | 133.94 | 135.01 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), GPT-4.1 mini: 24.1 (#270)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| Omni-MATH | 48% | 49.1% |
| LMArena Math | 1373 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |
Knowledge GPT-4.1 mini leads
Gemini 2.5 Flash-Lite: 32.5 (#210), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| MMLU-Pro | 53.7% | 78.3% |
| GPQA (HELM) | 30.9% | 61.4% |
| LMArena Expert | 1373 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| Vectara Hallucination Rate | 3.3% | — |
Multimodal GPT-4.1 mini leads
Gemini 2.5 Flash-Lite: 29.1 (#114), GPT-4.1 mini: 35.8 (#82)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1198 | 1181 |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1369 | 1318 |
| LMArena Chinese | 1404 | 1329 |
| LMArena French | 1388 | 1358 |
| LMArena German | 1389 | 1351 |
| LMArena Japanese | 1359 | 1290 |
| LMArena Korean | 1360 | 1298 |
| LMArena Russian | 1373 | 1324 |
| LMArena Spanish | 1396 | 1319 |
Instruction Following GPT-4.1 mini leads
Gemini 2.5 Flash-Lite: 70.0 (#168), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| IFEval | 81% | 90.4% |
| LMArena Instruction Following | 1367 | 1333 |
Long Context Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 33.3 (#262), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| Fiction.LiveBench | 47.2% | 44.4% |
| LMArena Longer Query | 1373 | 1344 |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1379 | 1340 |
| LMArena Creative Writing | 1367 | 1300 |
| WildBench | 81.8% | 83.8% |
| LMArena Multi-Turn | 1366 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-4.1 mini?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 33.6 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-4.1 mini?
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 mini lists at $0.40 and $1.60.
Is Gemini 2.5 Flash-Lite or GPT-4.1 mini better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 30.6 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 mini share?
30 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-4.1 mini has 47.