Model comparison
Gemini 2.5 Flash vs GPT-4.1 mini
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 33.6 on the Noometry Index.
Last verified . 38 shared benchmarks.
GoogleSummary
- They share 38 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 9 categories and GPT-4.1 mini in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash leads 39.9 to 24.1.
- The biggest single-benchmark swing is Fiction.LiveBench: 77.8% for Gemini 2.5 Flash and 44.4% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 2.5 Flash | GPT-4.1 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 39.3 | 33.6 |
| Released | 2025-04-17 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.30 | $0.40 |
| Output $ / M tokens | $2.50 | $1.60 |
| Results tracked | 54 | 47 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), GPT-4.1 mini: 30.6 (#293)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | 23.9% |
| Aider Polyglot | 55.1% | 32.4% |
| WeirdML | 41.9% | 37.6% |
| LMArena Coding | 1424 | 1367 |
| SciCode | — | 40.4% |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use GPT-4.1 mini leads
Gemini 2.5 Flash: 30.8 (#74), GPT-4.1 mini: 33.3 (#55)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 56.2% | 50.5% |
| Terminal-Bench | 17.1% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Gemini 2.5 Flash leads
Gemini 2.5 Flash: 18.1 (#286), GPT-4.1 mini: 10.8 (#340)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| ARC-AGI-2 | 2.5% | 0% |
| Kagi LLM Benchmark | 56.8% | 48.6% |
| ARC-AGI-1 | 33.3% | 3.5% |
| CritPt | 1.1% | 0% |
| LMArena Hard Prompts | 1422 | 1349 |
| DTBench | 76.5% | 68.8% |
| LMCA | 27.5% | 21.1% |
| Epoch Capabilities Index | 143.03 | 135.01 |
| SimpleBench | 41.2% | — |
| Chess Puzzles | — | 7% |
| EnigmaEval | 2.7% | — |
| Mystery Game Puzzles | — | 7% |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), GPT-4.1 mini: 24.1 (#270)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 44.7% |
| Omni-MATH | 38.5% | 49.1% |
| LMArena Math | 1415 | 1343 |
| FrontierMath (Feb 2025 set) | 4.8% | 4.5% |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| MATH Level 5 | — | 87.3% |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| MMLU-Pro | 63.9% | 78.3% |
| GPQA (HELM) | 39% | 61.4% |
| LMArena Expert | 1426 | 1338 |
| GPQA Diamond | — | 65.8% |
| Humanity's Last Exam | 12.1% | — |
| SimpleQA Verified | — | 12.7% |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), GPT-4.1 mini: 35.8 (#82)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1253 | 1181 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1409 | 1318 |
| LMArena Chinese | 1450 | 1329 |
| LMArena French | 1433 | 1358 |
| LMArena German | 1418 | 1351 |
| LMArena Japanese | 1405 | 1290 |
| LMArena Korean | 1385 | 1298 |
| LMArena Russian | 1415 | 1324 |
| LMArena Spanish | 1421 | 1319 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| IFEval | 89.8% | 90.4% |
| LMArena Instruction Following | 1405 | 1333 |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| Fiction.LiveBench | 77.8% | 44.4% |
| LMArena Longer Query | 1419 | 1344 |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Gemini 2.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1417 | 1340 |
| LMArena Creative Writing | 1400 | 1300 |
| EQ-Bench Creative Writing | 1137 | 1147 |
| WildBench | 81.7% | 83.8% |
| LMArena Multi-Turn | 1408 | 1354 |
| Short-Story Creative Writing | 76.5% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than GPT-4.1 mini?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 33.6 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or GPT-4.1 mini?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or GPT-4.1 mini better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 2.5 Flash and GPT-4.1 mini share?
38 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GPT-4.1 mini has 47.