Model comparison
Gemini 1.5 Flash (May 2024) vs GPT-4.1 mini
Gemini 1.5 Flash (May 2024) and GPT-4.1 mini score almost the same on the Noometry Index (32.9 vs 33.5), so choose on price, context window or the category you care about most.
Last verified . 31 shared benchmarks.
GoogleSummary
- They share 31 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 5 categories and GPT-4.1 mini in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 1.5 Flash (May 2024) leads 20.8 to 10.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 44.7% for GPT-4.1 mini.
Side by side
| Gemini 1.5 Flash (May 2024) | GPT-4.1 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 32.9 | 33.5 |
| Released | 2024-05-14 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $1.60 |
| Results tracked | 42 | 47 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 33.9 (#233), GPT-4.1 mini: 30.4 (#286)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| WeirdML | 24.9% | 37.6% |
| BigCodeBench Instruct | 43.5% | 48.9% |
| LMArena Coding | 1262 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| BigCodeBench Complete | 55.1% | — |
| CadEval | — | 16% |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use GPT-4.1 mini leads
Gemini 1.5 Flash (May 2024): 26.3 (#97), GPT-4.1 mini: 33.0 (#52)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 20.8 (#212), GPT-4.1 mini: 10.9 (#335)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1349 |
| DTBench | 53.8% | 68.8% |
| Epoch Capabilities Index | 129.37 | 135.01 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| LMCA | — | 21.1% |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math GPT-4.1 mini leads
Gemini 1.5 Flash (May 2024): 20.8 (#274), GPT-4.1 mini: 23.1 (#264)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 44.7% |
| Omni-MATH | 30.4% | 49.1% |
| LMArena Math | 1269 | 1343 |
| MATH Level 5 | 61.9% | 87.3% |
| FrontierMath (Feb 2025 set) | 0% | 4.5% |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| GSM8K | 82.4% | — |
Knowledge GPT-4.1 mini leads
Gemini 1.5 Flash (May 2024): 26.2 (#253), GPT-4.1 mini: 34.7 (#183)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 47.3% | 65.8% |
| MMLU-Pro | 67.8% | 78.3% |
| GPQA (HELM) | 43.7% | 61.4% |
| LMArena Expert | 1233 | 1338 |
| SimpleQA Verified | — | 12.7% |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Too close to call
Gemini 1.5 Flash (May 2024): 35.3 (#76), GPT-4.1 mini: 35.2 (#77)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1141 | 1181 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual GPT-4.1 mini leads
Gemini 1.5 Flash (May 2024): 43.1 (#184), GPT-4.1 mini: 45.9 (#161)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1278 | 1318 |
| LMArena Chinese | 1295 | 1329 |
| LMArena French | 1257 | 1357 |
| LMArena German | 1262 | 1349 |
| LMArena Japanese | 1252 | 1291 |
| LMArena Korean | 1220 | 1298 |
| LMArena Russian | 1288 | 1324 |
| LMArena Spanish | 1242 | 1319 |
Instruction Following GPT-4.1 mini leads
Gemini 1.5 Flash (May 2024): 67.0 (#199), GPT-4.1 mini: 73.9 (#113)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| IFEval | 83.1% | 90.4% |
| LMArena Instruction Following | 1258 | 1332 |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#182), GPT-4.1 mini: 31.8 (#270)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1284 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Too close to call
Gemini 1.5 Flash (May 2024): 48.9 (#190), GPT-4.1 mini: 48.8 (#193)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1287 | 1341 |
| LMArena Creative Writing | 1285 | 1300 |
| WildBench | 79.2% | 83.8% |
| LMArena Multi-Turn | 1253 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GPT-4.1 mini?
Gemini 1.5 Flash (May 2024) and GPT-4.1 mini score almost the same on the Noometry Index (32.9 vs 33.5), so choose on price, context window or the category you care about most.
Is Gemini 1.5 Flash (May 2024) or GPT-4.1 mini better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 33.9 versus 30.4 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-4.1 mini share?
31 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-4.1 mini has 47.