Model comparison
Gemini 3.8 Flash vs GPT-4.5
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 37.2 on the Noometry Index.
Last verified . 25 shared benchmarks.
GoogleSummary
- They share 25 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 10 categories and GPT-4.5 in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 13.9.
- The biggest single-benchmark swing is ARC-AGI-2: 89.2% for Gemini 3.8 Flash and 0.8% for GPT-4.5.
Side by side
| Gemini 3.8 Flash | GPT-4.5 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 61.8 | 37.2 |
| Released | 2026-09-02 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 50 | 42 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), GPT-4.5: 42.2 (#109)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| WeirdML | 84.8% | 39.4% |
| LMArena Coding | 1510 | 1396 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| Aider Polyglot | — | 44.9% |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 41.8 (#21), GPT-4.5: 27.9 (#97)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| Cybench | — | 17.5% |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), GPT-4.5: 13.9 (#330)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 89.2% | 0.8% |
| ARC-AGI-1 | 98.5% | 10.3% |
| LMArena Hard Prompts | 1508 | 1403 |
| Epoch Capabilities Index | 156.71 | 136.74 |
| SimpleBench | — | 34.5% |
| NYT Connections (extended) | 97.4% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), GPT-4.5: 32.6 (#211)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 37.8% |
| LMArena Math | 1528 | 1412 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), GPT-4.5: 32.5 (#211)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 95.4% | 68.7% |
| Humanity's Last Exam | 44.5% | 5.4% |
| LMArena Expert | 1524 | 1394 |
| SimpleQA Verified | 69.7% | — |
| Confabulations | — | 13.6% |
Multimodal Gemini 3.8 Flash leads
Gemini 3.8 Flash: 40.7 (#45), GPT-4.5: 37.6 (#71)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Vision | 1314 | 1195 |
| VPCT | — | 45% |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), GPT-4.5: 52.5 (#83)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1491 | 1413 |
| LMArena Chinese | 1554 | 1421 |
| LMArena French | 1498 | 1418 |
| LMArena German | 1493 | 1457 |
| LMArena Japanese | 1502 | 1416 |
| LMArena Korean | 1459 | 1392 |
| LMArena Russian | 1515 | 1419 |
| LMArena Spanish | 1485 | — |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), GPT-4.5: 72.6 (#134)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1490 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), GPT-4.5: 40.4 (#155)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1508 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), GPT-4.5: 56.9 (#134)
| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Text | 1499 | 1417 |
| LMArena Creative Writing | 1492 | 1394 |
| EQ-Bench Creative Writing | 1748 | 1258 |
| LMArena Multi-Turn | 1501 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Gemini 3.8 Flash better than GPT-4.5?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 37.2 on the Noometry Index.
Is Gemini 3.8 Flash or GPT-4.5 better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 42.2 in the Noometry coding category.
How many benchmarks do Gemini 3.8 Flash and GPT-4.5 share?
25 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GPT-4.5 has 42.