Model comparison
Gemini 2.5 Pro vs GPT-5.4
GPT-5.4 is the stronger model overall, scoring 59.5 to 44.9 on the Noometry Index. Gemini 2.5 Pro costs 1.6× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.
Last verified . 51 shared benchmarks.
Summary
- They share 51 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 2 categories and GPT-5.4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 leads 73.3 to 31.9.
- The biggest single-benchmark swing is ARC-AGI-2: 4.9% for Gemini 2.5 Pro and 74% for GPT-5.4.
- Gemini 2.5 Pro is cheaper at $1.25 / $10 per million input/output tokens, against $2.50 / $15 for GPT-5.4.
- GPT-5.4 accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 2.5 Pro | GPT-5.4 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 44.9 | 59.5 |
| Released | 2025-03-25 | 2026-03-05 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.25 | $2.50 |
| Output $ / M tokens | $10 | $15 |
| Results tracked | 78 | 68 |
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Category by category
Coding GPT-5.4 leads
Gemini 2.5 Pro: 42.8 (#86), GPT-5.4: 52.8 (#28)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| SWE-bench Verified | 57.6% | 76.9% |
| LMArena WebDev | 1227 | 1465 |
| SciCode | 42.8% | 56.6% |
| GSO | 3.9% | 31.4% |
| WeirdML | 54% | 77.7% |
| LMArena Coding | 1452 | 1497 |
| ALE-Bench | 785.52 | 1,607 |
| AlgoTune | 1.51 | 1.85 |
| DeepSWE | — | 51.8% |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LiveBench Coding | 85.9% | — |
| MirrorCode | — | 15.6% |
| CadEval | 64% | — |
Agentic & Tool Use GPT-5.4 leads
Gemini 2.5 Pro: 29.1 (#81), GPT-5.4: 46.5 (#12)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| Terminal-Bench | 32.6% | 81.8% |
| τ²-bench Banking | 13.7% | 39.4% |
| DeepResearch Bench | 42.8% | 35.1% |
| LMArena Search | 1142 | 1197 |
| METR Time Horizons | 55.4% | 74.3% |
| Vending-Bench 2 | 573.64 | 6,144 |
| APEX-Agents | — | 52.4% |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| PostTrainBench | — | 19% |
| BALROG | 43.3% | — |
| GBAEval | — | 45.1% |
Reasoning GPT-5.4 leads
Gemini 2.5 Pro: 28.8 (#85), GPT-5.4: 61.7 (#17)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| ARC-AGI-2 | 4.9% | 74% |
| Kagi LLM Benchmark | 70.3% | 63.8% |
| ARC-AGI-1 | 41% | 93.7% |
| CritPt | 2% | 23.4% |
| Chess Puzzles | 20% | 44% |
| EnigmaEval | 5.6% | 16% |
| LMArena Hard Prompts | 1455 | 1485 |
| DTBench | 82.4% | 94.4% |
| LMCA | 34.8% | 52% |
| Epoch Capabilities Index | 145.32 | 156.92 |
| ForecastBench | 61.3 | 59.5 |
| SimpleBench | 62.4% | — |
| NYT Connections (extended) | — | 91.3% |
| Thematic Generalization | — | 80% |
| EBR-Bench | — | 25.4% |
| LiveBench Reasoning | 89.8% | — |
| Mystery Game Puzzles | — | 37% |
| LiveBench Data Analysis | 79.9% | — |
| LiveBench | 82.3% | — |
Math GPT-5.4 leads
Gemini 2.5 Pro: 31.9 (#191), GPT-5.4: 73.3 (#14)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 78.6% |
| FrontierMath Tier 4 | 0% | 49% |
| OTIS Mock AIME 2024-2025 | 84.7% | 97.8% |
| LMArena Math | 1450 | 1488 |
| FrontierMath (Feb 2025 set) | 14.1% | 47.6% |
| FrontierMath Tier 4 (v1) | 4.2% | 27.1% |
| MathArena Final-Answer Competitions | — | 83.1% |
| ProofBench | — | 56% |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
Knowledge GPT-5.4 leads
Gemini 2.5 Pro: 55.8 (#41), GPT-5.4: 65.3 (#13)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| GPQA Diamond | 85.3% | 93.3% |
| Humanity's Last Exam | 21.6% | 36.2% |
| Vectara Hallucination Rate | 7% | 7% |
| LMArena Expert | 1452 | 1507 |
| SimpleQA Verified | — | 45.1% |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Too close to call
Gemini 2.5 Pro: 44.5 (#16), GPT-5.4: 43.8 (#19)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| LMArena Vision | 1263 | 1302 |
| LMArena Document | 1421 | 1471 |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| Blueprint-Bench 2 | — | 27.1% |
| Furniture Assembly | — | 37.5% |
| SpatialViz-Bench | 44.7% | — |
Multilingual Too close to call
Gemini 2.5 Pro: 55.5 (#30), GPT-5.4: 56.4 (#22)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| LMArena Non-English | 1452 | 1465 |
| LMArena Chinese | 1507 | 1520 |
| LMArena French | 1473 | 1493 |
| LMArena German | 1487 | 1472 |
| LMArena Japanese | 1462 | 1484 |
| LMArena Korean | 1435 | 1449 |
| LMArena Russian | 1460 | 1480 |
| LMArena Spanish | 1473 | 1453 |
Instruction Following GPT-5.4 leads
Gemini 2.5 Pro: 75.2 (#71), GPT-5.4: 77.3 (#25)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| LMArena Instruction Following | 1436 | 1469 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.7 (#5), GPT-5.4: 50.3 (#8)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| LMArena Longer Query | 1449 | 1474 |
| Fiction.LiveBench | 91.7% | — |
| CL-bench | — | 27.9% |
| CL-bench Life | — | 21.7% |
Writing & Preference GPT-5.4 leads
Gemini 2.5 Pro: 63.9 (#60), GPT-5.4: 72.1 (#18)
| Benchmark | Gemini 2.5 Pro | GPT-5.4 |
|---|---|---|
| LMArena Text | 1458 | 1469 |
| LMArena Creative Writing | 1453 | 1439 |
| EQ-Bench Creative Writing | 1421 | 1840 |
| LMArena Multi-Turn | 1453 | 1482 |
| Short-Story Creative Writing | 83.8% | — |
| WildBench | 85.7% | — |
| EQ-Bench 4 | — | 1272 |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than GPT-5.4?
GPT-5.4 is the stronger model overall, scoring 59.5 to 44.9 on the Noometry Index. Gemini 2.5 Pro costs 1.6× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or GPT-5.4?
Gemini 2.5 Pro is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-5.4 lists at $2.50 and $15.
Is Gemini 2.5 Pro or GPT-5.4 better for coding?
GPT-5.4 scores higher on coding benchmarks: 52.8 versus 42.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 2.5 Pro and GPT-5.4 share?
51 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-5.4 has 68.