Model comparison
Gemini 1.5 Flash (May 2024) vs GPT-5.4 mini
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 33.2 on the Noometry Index.
Last verified . 25 shared benchmarks.
GoogleSummary
- They share 25 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and GPT-5.4 mini in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 26.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 88.9% for GPT-5.4 mini.
Side by side
| Gemini 1.5 Flash (May 2024) | GPT-5.4 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 33.2 | 45.0 |
| Released | 2024-05-14 | 2026-03-17 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.75 |
| Output $ / M tokens | — | $4.50 |
| Results tracked | 42 | 46 |
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Category by category
Coding GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), GPT-5.4 mini: 45.2 (#72)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| WeirdML | 24.9% | 60.3% |
| LMArena Coding | 1261 | 1438 |
| FrontierCode | — | 27% |
| LMArena WebDev | — | 1397 |
| SciCode | — | 49.9% |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 1,189 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), GPT-5.4 mini: 29.9 (#81)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| DeepResearch Bench | — | 36.3% |
| BALROG | 14.6% | — |
Reasoning GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), GPT-5.4 mini: 30.4 (#85)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1424 |
| DTBench | 53.8% | 80% |
| Epoch Capabilities Index | 129.36 | 148.84 |
| ForecastBench | 53.9 | 57 |
| ARC-AGI-2 | — | 18.9% |
| Kagi LLM Benchmark | — | 37.9% |
| NYT Connections (extended) | — | 61.8% |
| ARC-AGI-1 | — | 63.7% |
| CritPt | — | 10% |
| Chess Puzzles | — | 24% |
| Thematic Generalization | — | 61.7% |
| Mystery Game Puzzles | — | 11% |
| LMCA | — | 40.8% |
| PIQA | 87.5% | — |
Math GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), GPT-5.4 mini: 45.5 (#75)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 88.9% |
| LMArena Math | 1269 | 1419 |
| FrontierMath (Feb 2025 set) | 0% | 28.3% |
| FrontierMath (Tiers 1-3) | — | 51.2% |
| FrontierMath Tier 4 | — | 9.8% |
| ProofBench | — | 21% |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath Tier 4 (v1) | — | 2.1% |
| GSM8K | 82.4% | — |
Knowledge GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), GPT-5.4 mini: 51.5 (#67)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| GPQA Diamond | 47.3% | 86.9% |
| LMArena Expert | 1233 | 1435 |
| SimpleQA Verified | — | 29.4% |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 5.5% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 36.0 (#81), GPT-5.4 mini: 39.7 (#56)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| LMArena Vision | 1141 | 1245 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), GPT-5.4 mini: 51.9 (#96)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| LMArena Non-English | 1278 | 1405 |
| LMArena Chinese | 1295 | 1446 |
| LMArena French | 1258 | 1440 |
| LMArena German | 1262 | 1409 |
| LMArena Japanese | 1252 | 1374 |
| LMArena Korean | 1221 | 1368 |
| LMArena Russian | 1288 | 1417 |
| LMArena Spanish | 1243 | 1405 |
Instruction Following GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), GPT-5.4 mini: 74.1 (#102)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| LMArena Instruction Following | 1258 | 1405 |
| IFEval | 83.1% | — |
Long Context GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), GPT-5.4 mini: 43.0 (#112)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| LMArena Longer Query | 1284 | 1407 |
Writing & Preference GPT-5.4 mini leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), GPT-5.4 mini: 64.0 (#58)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.4 mini |
|---|---|---|
| LMArena Text | 1287 | 1412 |
| LMArena Creative Writing | 1285 | 1370 |
| LMArena Multi-Turn | 1253 | 1429 |
| EQ-Bench Creative Writing | — | 1665 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GPT-5.4 mini?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 33.2 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or GPT-5.4 mini better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 34.4 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-5.4 mini share?
25 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-5.4 mini has 46.