# Gemini 2.0 Flash (Feb 2025) vs GPT-5 Pro

> GPT-5 Pro is the stronger model overall, scoring 46.4 to 35.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-gpt-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GPT-5 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 32.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 76.8% for GPT-5 Pro.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 35.1 | 46.4 |
| Rank | 228 | 64 |
| Context | — | 400K |
| Input $/M | — | $15 |
| Output $/M | — | $120 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.4 (#315)
- GPT-5 Pro: 44.0 (#80)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| WeirdML | 25.8% | 60.4% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| LMArena Coding | 1350 | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| AlgoTune | — | 1.31 |

## Agentic & Tool Use

- Gemini 2.0 Flash (Feb 2025): 28.1 (#92)
- GPT-5 Pro: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| TheAgentCompany | 11.4% | — |

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#318)
- GPT-5 Pro: 38.9 (#62)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| ARC-AGI-2 | 1.3% | 18.3% |
| SimpleBench | 31.1% | 61.6% |
| Kagi LLM Benchmark | 37.8% | 76.8% |
| EnigmaEval | 1.1% | 18.8% |
| Epoch Capabilities Index | 135.36 | 150.28 |
| ARC-AGI-1 | — | 70.2% |
| LiveBench Reasoning | 78.2% | — |
| LMArena Hard Prompts | 1346 | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LiveBench | 66.9% | — |

## Math

- Gemini 2.0 Flash (Feb 2025): 37.9 (#146)
- GPT-5 Pro: 48.5 (#63)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1352 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- Gemini 2.0 Flash (Feb 2025): 32.0 (#213)
- GPT-5 Pro: 56.7 (#42)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| Humanity's Last Exam | 6.6% | 31.6% |
| GPQA Diamond | 64.1% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| LMArena Expert | 1339 | — |
| MMLU | 79.7% | — |

## Multimodal

- Gemini 2.0 Flash (Feb 2025): 36.5 (#79)
- GPT-5 Pro: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.4 (#149)
- GPT-5 Pro: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1342 | — |
| LMArena Chinese | 1373 | — |
| LMArena French | 1391 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1351 | — |
| LMArena Spanish | 1363 | — |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.4 (#97)
- GPT-5 Pro: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
| LMArena Instruction Following | 1336 | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#203)
- GPT-5 Pro: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Pro |
|---|---|---|
| Fiction.LiveBench | 61.1% | — |
| LMArena Longer Query | 1344 | — |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.5 (#190)
- GPT-5 Pro: —

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 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% | — |

## FAQ

### Is Gemini 2.0 Flash (Feb 2025) better than GPT-5 Pro?

GPT-5 Pro is the stronger model overall, scoring 46.4 to 35.1 on the Noometry Index.

### Is Gemini 2.0 Flash (Feb 2025) or GPT-5 Pro better for coding?

GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 28.4 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-5 Pro share?

7 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-5 Pro has 12.