Model comparison
Gemini 3 Pro vs GPT-5.4
GPT-5.4 is the stronger model overall, scoring 59.4 to 54.8 on the Noometry Index.
Last verified . 50 shared benchmarks.
GoogleSummary
- They share 50 benchmarks with published results for both. Gemini 3 Pro scores higher in 2 categories and GPT-5.4 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 leads 73.5 to 49.9.
- The biggest single-benchmark swing is ARC-AGI-2: 31.1% for Gemini 3 Pro and 74% for GPT-5.4.
Side by side
| Gemini 3 Pro | GPT-5.4 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 54.8 | 59.4 |
| Released | 2025-11-18 | 2026-03-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $15 |
| Results tracked | 67 | 68 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.4 leads
Gemini 3 Pro: 51.6 (#39), GPT-5.4: 52.6 (#33)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| SWE-bench Verified | 72.9% | 76.9% |
| LMArena WebDev | 1440 | 1465 |
| GSO | 18.6% | 31.4% |
| WeirdML | 69.9% | 77.7% |
| LMArena Coding | 1481 | 1497 |
| ALE-Bench | 1,177 | 1,607 |
| AlgoTune | 1.83 | 1.85 |
| DeepSWE | — | 51.8% |
| SWE-bench Verified (bash only) | 74.2% | — |
| SWE-bench Multilingual | 68.7% | — |
| SciCode | — | 56.6% |
| MirrorCode | — | 15.6% |
Agentic & Tool Use GPT-5.4 leads
Gemini 3 Pro: 40.6 (#23), GPT-5.4: 46.5 (#13)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| Terminal-Bench | 69.4% | 81.8% |
| τ²-bench Banking | 18% | 39.4% |
| DeepResearch Bench | 46.3% | 35.1% |
| LMArena Search | 1207 | 1197 |
| METR Time Horizons | 71% | 74.3% |
| Vending-Bench 2 | 5,478 | 6,144 |
| APEX-Agents | — | 52.4% |
| Berkeley Function Calling Leaderboard | 72.5% | — |
| GDPval | 40.3% | — |
| Remote Labor Index | 1.3% | — |
| τ²-bench Airline | 80.5% | — |
| τ²-bench Retail | 75.9% | — |
| τ²-bench Telecom | 91% | — |
| PostTrainBench | — | 19% |
| BALROG | 58.1% | — |
| GBAEval | — | 45.1% |
Reasoning GPT-5.4 leads
Gemini 3 Pro: 52.5 (#31), GPT-5.4: 61.8 (#19)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| ARC-AGI-2 | 31.1% | 74% |
| Kagi LLM Benchmark | 80.1% | 63.8% |
| NYT Connections (extended) | 94.4% | 91.3% |
| ARC-AGI-1 | 75% | 93.7% |
| CritPt | 6.9% | 23.4% |
| Chess Puzzles | 31% | 44% |
| EnigmaEval | 18.2% | 16% |
| LMArena Hard Prompts | 1480 | 1485 |
| Epoch Capabilities Index | 152.92 | 156.81 |
| ForecastBench | 61.2 | 59.5 |
| SimpleBench | 76.4% | — |
| Thematic Generalization | — | 80% |
| EBR-Bench | — | 25.4% |
| Mystery Game Puzzles | — | 37% |
| DTBench | — | 94.4% |
| LMCA | — | 52% |
Math GPT-5.4 leads
Gemini 3 Pro: 49.9 (#59), GPT-5.4: 73.5 (#19)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| MathArena Final-Answer Competitions | 67% | 83.1% |
| OTIS Mock AIME 2024-2025 | 91.4% | 97.8% |
| ProofBench | 20% | 56% |
| LMArena Math | 1476 | 1488 |
| FrontierMath (Feb 2025 set) | 37.6% | 47.6% |
| FrontierMath Tier 4 (v1) | 18.8% | 27.1% |
| FrontierMath (Tiers 1-3) | — | 78.6% |
| FrontierMath Tier 4 | — | 49% |
| Omni-MATH | 55.5% | — |
Knowledge Too close to call
Gemini 3 Pro: 64.4 (#16), GPT-5.4: 65.3 (#14)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| GPQA Diamond | 92.6% | 93.3% |
| Humanity's Last Exam | 37.5% | 36.2% |
| Vectara Hallucination Rate | 13.6% | 7% |
| LMArena Expert | 1475 | 1507 |
| SimpleQA Verified | — | 45.1% |
| MMLU-Pro | 90.3% | — |
| GPQA (HELM) | 80.3% | — |
Multimodal Gemini 3 Pro leads
Gemini 3 Pro: 57.6 (#2), GPT-5.4: 43.7 (#20)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| LMArena Vision | 1305 | 1303 |
| LMArena Document | 1434 | 1471 |
| GeoBench | 84% | — |
| VPCT | 91% | — |
| Blueprint-Bench 2 | — | 27.1% |
| Furniture Assembly | — | 37.5% |
Multilingual Too close to call
Gemini 3 Pro: 56.9 (#16), GPT-5.4: 56.2 (#23)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| LMArena Non-English | 1474 | 1465 |
| LMArena Chinese | 1523 | 1519 |
| LMArena French | 1492 | 1493 |
| LMArena German | 1515 | 1472 |
| LMArena Japanese | 1510 | 1485 |
| LMArena Korean | 1448 | 1448 |
| LMArena Russian | 1493 | 1480 |
| LMArena Spanish | 1470 | 1454 |
Instruction Following Too close to call
Gemini 3 Pro: 76.3 (#45), GPT-5.4: 77.1 (#27)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| LMArena Instruction Following | 1458 | 1469 |
| IFEval | 87.7% | — |
Long Context GPT-5.4 leads
Gemini 3 Pro: 44.0 (#79), GPT-5.4: 50.3 (#8)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| CL-bench | 15.8% | 27.9% |
| LMArena Longer Query | 1471 | 1473 |
| CL-bench Life | — | 21.7% |
Writing & Preference GPT-5.4 leads
Gemini 3 Pro: 66.4 (#35), GPT-5.4: 71.9 (#17)
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| LMArena Text | 1479 | 1469 |
| LMArena Creative Writing | 1482 | 1439 |
| EQ-Bench Creative Writing | 1525 | 1840 |
| LMArena Multi-Turn | 1484 | 1482 |
| WildBench | 85.9% | — |
| EQ-Bench 4 | — | 1272 |
Frequently asked questions
Is Gemini 3 Pro better than GPT-5.4?
GPT-5.4 is the stronger model overall, scoring 59.4 to 54.8 on the Noometry Index.
Is Gemini 3 Pro or GPT-5.4 better for coding?
GPT-5.4 scores higher on coding benchmarks: 52.6 versus 51.6 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and GPT-5.4 share?
50 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and GPT-5.4 has 68.