Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-5.4 Pro
GPT-5.4 Pro is the stronger model overall, scoring 58.8 to 34.8 on the Noometry Index.
Last verified . 8 shared benchmarks.
GoogleSummary
- They share 8 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GPT-5.4 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 Pro leads 71.0 to 15.2.
- The biggest single-benchmark swing is ARC-AGI-2: 1.3% for Gemini 2.0 Flash (Feb 2025) and 83.3% for GPT-5.4 Pro.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 34.8 | 58.8 |
| Released | 2024-12-06 | 2026-03-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $30 |
| Output $ / M tokens | — | $180 |
| Results tracked | 54 | 16 |
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Category by category
Coding GPT-5.4 Pro leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), GPT-5.4 Pro: 42.6 (#89)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| WeirdML | 25.8% | 57.4% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| LMArena Coding | 1351 | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), GPT-5.4 Pro: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning GPT-5.4 Pro leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), GPT-5.4 Pro: 71.0 (#10)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| ARC-AGI-2 | 1.3% | 83.3% |
| SimpleBench | 31.1% | 74.1% |
| EnigmaEval | 1.1% | 23.8% |
| Epoch Capabilities Index | 135.36 | 159.12 |
| Kagi LLM Benchmark | 37.8% | — |
| ARC-AGI-1 | — | 94.5% |
| CritPt | — | 30% |
| Chess Puzzles | — | 58.6% |
| LiveBench Reasoning | 78.2% | — |
| LMArena Hard Prompts | 1346 | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LiveBench | 66.9% | — |
Math GPT-5.4 Pro leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), GPT-5.4 Pro: 72.0 (#17)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| FrontierMath (Feb 2025 set) | 1.7% | 50% |
| FrontierMath (Tiers 1-3) | — | 82.5% |
| FrontierMath Tier 4 | — | 58.5% |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1351 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath Tier 4 (v1) | — | 37.5% |
Knowledge GPT-5.4 Pro leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), GPT-5.4 Pro: 68.3 (#6)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| GPQA Diamond | 64.1% | 94.6% |
| Humanity's Last Exam | 6.6% | 44.3% |
| SimpleQA Verified | — | 46.3% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 8.3% |
| GPQA (HELM) | 55.6% | — |
| LMArena Expert | 1340 | — |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), GPT-5.4 Pro: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Not comparable
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), GPT-5.4 Pro: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| LMArena Non-English | 1342 | — |
| LMArena Chinese | 1373 | — |
| LMArena French | 1390 | — |
| LMArena German | 1354 | — |
| LMArena Japanese | 1293 | — |
| LMArena Korean | 1314 | — |
| LMArena Russian | 1351 | — |
| LMArena Spanish | 1363 | — |
Instruction Following Not comparable
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), GPT-5.4 Pro: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
| LMArena Instruction Following | 1336 | — |
Long Context Not comparable
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), GPT-5.4 Pro: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| Fiction.LiveBench | 61.1% | — |
| LMArena Longer Query | 1345 | — |
Writing & Preference Not comparable
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), GPT-5.4 Pro: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.4 Pro |
|---|---|---|
| LMArena Text | 1354 | — |
| LMArena Creative Writing | 1340 | — |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LMArena Multi-Turn | 1350 | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-5.4 Pro?
GPT-5.4 Pro is the stronger model overall, scoring 58.8 to 34.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-5.4 Pro better for coding?
GPT-5.4 Pro scores higher on coding benchmarks: 42.6 versus 28.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-5.4 Pro share?
8 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-5.4 Pro has 16.