Model comparison
Gemini 1.5 Pro (May 2024) vs GPT-4.1 mini
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 32.1 on the Noometry Index.
Last verified . 32 shared benchmarks.
Summary
- They share 32 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 6 categories and GPT-4.1 mini in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-4.1 mini leads 33.3 to 17.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 44.7% for GPT-4.1 mini.
Side by side
| Gemini 1.5 Pro (May 2024) | GPT-4.1 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 32.1 | 33.6 |
| Released | 2024-02-15 | 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 | 45 | 47 |
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Category by category
Coding Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), GPT-4.1 mini: 30.6 (#293)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| WeirdML | 22.2% | 37.6% |
| BigCodeBench Instruct | 43.8% | 48.9% |
| LMArena Coding | 1294 | 1367 |
| CadEval | 34% | 16% |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| BigCodeBench Complete | 57.5% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use GPT-4.1 mini leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), GPT-4.1 mini: 33.3 (#55)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), GPT-4.1 mini: 10.8 (#340)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| ARC-AGI-2 | 0.8% | 0% |
| LMArena Hard Prompts | 1296 | 1349 |
| DTBench | 59% | 68.8% |
| Epoch Capabilities Index | 131.73 | 135.01 |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| LMCA | — | 21.1% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), GPT-4.1 mini: 24.1 (#270)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 44.7% |
| Omni-MATH | 36.4% | 49.1% |
| LMArena Math | 1315 | 1343 |
| MATH Level 5 | 70.4% | 87.3% |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| FrontierMath (Feb 2025 set) | — | 4.5% |
Knowledge GPT-4.1 mini leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 57.2% | 65.8% |
| MMLU-Pro | 73.7% | 78.3% |
| GPQA (HELM) | 53.4% | 61.4% |
| LMArena Expert | 1279 | 1338 |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 12.7% |
| Confabulations | 13.5% | — |
| MMLU | 86.9% | — |
Multimodal Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), GPT-4.1 mini: 35.8 (#82)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1161 | 1181 |
| Video-MME | 75% | — |
Multilingual Too close to call
Gemini 1.5 Pro (May 2024): 45.3 (#174), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1312 | 1318 |
| LMArena Chinese | 1331 | 1329 |
| LMArena French | 1302 | 1358 |
| LMArena German | 1286 | 1351 |
| LMArena Japanese | 1292 | 1290 |
| LMArena Korean | 1298 | 1298 |
| LMArena Russian | 1320 | 1324 |
| LMArena Spanish | 1311 | 1319 |
Instruction Following GPT-4.1 mini leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| IFEval | 83.7% | 90.4% |
| LMArena Instruction Following | 1297 | 1333 |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1308 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1319 | 1340 |
| LMArena Creative Writing | 1333 | 1300 |
| WildBench | 81.3% | 83.8% |
| LMArena Multi-Turn | 1296 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GPT-4.1 mini?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GPT-4.1 mini better for coding?
Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 34.2 versus 30.6 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GPT-4.1 mini share?
32 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GPT-4.1 mini has 47.