Model comparison
Gemini 2.5 Flash vs GPT-4.5
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 37.2 on the Noometry Index.
Last verified . 32 shared benchmarks.
GoogleSummary
- They share 32 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 7 categories and GPT-4.5 in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash leads 39.9 to 32.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 37.8% for GPT-4.5.
Side by side
| Gemini 2.5 Flash | GPT-4.5 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 39.3 | 37.2 |
| Released | 2025-04-17 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 42 |
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Category by category
Coding GPT-4.5 leads
Gemini 2.5 Flash: 35.8 (#220), GPT-4.5: 42.2 (#109)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| Aider Polyglot | 55.1% | 44.9% |
| WeirdML | 41.9% | 39.4% |
| LMArena Coding | 1424 | 1396 |
| SWE-bench Verified (bash only) | 28.7% | — |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Gemini 2.5 Flash leads
Gemini 2.5 Flash: 30.8 (#74), GPT-4.5: 27.9 (#97)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| Cybench | — | 17.5% |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Gemini 2.5 Flash leads
Gemini 2.5 Flash: 18.1 (#286), GPT-4.5: 13.9 (#330)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 2.5% | 0.8% |
| SimpleBench | 41.2% | 34.5% |
| ARC-AGI-1 | 33.3% | 10.3% |
| EnigmaEval | 2.7% | 3.2% |
| LMArena Hard Prompts | 1422 | 1403 |
| Epoch Capabilities Index | 143.03 | 136.74 |
| ForecastBench | 60.6 | 61.7 |
| Kagi LLM Benchmark | 56.8% | — |
| CritPt | 1.1% | — |
| LiveBench Reasoning | — | 71.1% |
| DTBench | 76.5% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 27.5% | — |
| LiveBench | — | 69% |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), GPT-4.5: 32.6 (#211)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 37.8% |
| LMArena Math | 1415 | 1412 |
| Omni-MATH | 38.5% | — |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), GPT-4.5: 32.5 (#211)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| Humanity's Last Exam | 12.1% | 5.4% |
| Confabulations | 16.8% | 13.6% |
| LMArena Expert | 1426 | 1394 |
| GPQA Diamond | — | 68.7% |
| MMLU-Pro | 63.9% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), GPT-4.5: 37.6 (#71)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| LMArena Vision | 1253 | 1195 |
| VPCT | 46.2% | 45% |
| GeoBench | 76% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Too close to call
Gemini 2.5 Flash: 52.3 (#88), GPT-4.5: 52.5 (#83)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1409 | 1413 |
| LMArena Chinese | 1450 | 1421 |
| LMArena French | 1433 | 1418 |
| LMArena German | 1418 | 1457 |
| LMArena Japanese | 1405 | 1416 |
| LMArena Korean | 1385 | 1392 |
| LMArena Russian | 1415 | 1419 |
| LMArena Spanish | 1421 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), GPT-4.5: 72.6 (#134)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), GPT-4.5: 40.4 (#155)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| Fiction.LiveBench | 77.8% | 63.9% |
| LMArena Longer Query | 1419 | 1406 |
Writing & Preference GPT-4.5 leads
Gemini 2.5 Flash: 53.8 (#157), GPT-4.5: 56.9 (#134)
| Benchmark | Gemini 2.5 Flash | GPT-4.5 |
|---|---|---|
| LMArena Text | 1417 | 1417 |
| LMArena Creative Writing | 1400 | 1394 |
| Short-Story Creative Writing | 76.5% | 75.6% |
| EQ-Bench Creative Writing | 1137 | 1258 |
| LMArena Multi-Turn | 1408 | 1444 |
| WildBench | 81.7% | — |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Gemini 2.5 Flash better than GPT-4.5?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 37.2 on the Noometry Index.
Is Gemini 2.5 Flash or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 35.8 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and GPT-4.5 share?
32 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GPT-4.5 has 42.