# Gemini 2.0 Flash (Feb 2025) vs GPT-5.6 Sol

> GPT-5.6 Sol is the stronger model overall, scoring 64.4 to 34.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-vs-gpt-5-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GPT-5.6 Sol in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.6 Sol leads 74.7 to 15.2.
- The biggest single-benchmark swing is ARC-AGI-2: 1.3% for Gemini 2.0 Flash (Feb 2025) and 92.5% for GPT-5.6 Sol.

## Snapshot

| | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 34.8 | 64.4 |
| Rank | 223 | 6 |
| Context | — | 1.05M |
| Input $/M | — | $4 |
| Output $/M | — | $20 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.0 Flash (Feb 2025): 28.2 (#308)
- GPT-5.6 Sol: 61.1 (#7)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| WeirdML | 25.8% | 89.4% |
| LMArena Coding | 1351 | 1493 |
| DeepSWE | — | 72.7% |
| FrontierCode | — | 47.5% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| CursorBench | — | 41.7% |
| LMArena WebDev | — | 1619 |
| FrontierSWE | — | 32.2% |
| SciCode | — | 57.1% |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| MirrorCode | — | 20% |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 2,177 |

## Agentic & Tool Use

- Gemini 2.0 Flash (Feb 2025): 28.0 (#85)
- GPT-5.6 Sol: 50.2 (#7)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| APEX-Agents | — | 51.4% |
| OSWorld 2.0 | — | 27.3% |
| TheAgentCompany | 11.4% | — |
| τ²-bench Banking | — | 46.9% |
| PostTrainBench | — | 36.2% |
| BALROG | — | 60% |
| GBAEval | — | 52.6% |
| GDP.pdf | — | 30.7% |
| LMArena Search | — | 1257 |
| Vending-Bench 2 | — | 9,619 |

## Reasoning

- Gemini 2.0 Flash (Feb 2025): 15.2 (#308)
- GPT-5.6 Sol: 74.7 (#6)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| ARC-AGI-2 | 1.3% | 92.5% |
| SimpleBench | 31.1% | 71.7% |
| Kagi LLM Benchmark | 37.8% | 67% |
| EnigmaEval | 1.1% | 37.1% |
| LMArena Hard Prompts | 1346 | 1481 |
| DTBench | 63.2% | 96% |
| Epoch Capabilities Index | 135.36 | 161.99 |
| NYT Connections (extended) | — | 93.8% |
| ARC-AGI-1 | — | 97.5% |
| CritPt | — | 32.3% |
| Chess Puzzles | — | 64% |
| EBR-Bench | — | 44.8% |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 58% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 59.2% |
| Surface Evolver Bench | — | 93.1% |
| Bench to the Future 3 | — | 0.14 |
| LiveBench | 66.9% | — |

## Math

- Gemini 2.0 Flash (Feb 2025): 36.1 (#127)
- GPT-5.6 Sol: 85.5 (#7)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 100% |
| LMArena Math | 1351 | 1472 |
| FrontierMath (Tiers 1-3) | — | 89.1% |
| FrontierMath Tier 4 | — | 82.9% |
| ProofBench | — | 83% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
| FrontierMath Erdős | — | 0% |

## Knowledge

- Gemini 2.0 Flash (Feb 2025): 32.0 (#207)
- GPT-5.6 Sol: 64.3 (#16)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| GPQA Diamond | 64.1% | 93.5% |
| LMArena Expert | 1340 | 1517 |
| Humanity's Last Exam | 6.6% | — |
| SimpleQA Verified | — | 69.7% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 12.4% |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |

## Multimodal

- Gemini 2.0 Flash (Feb 2025): 35.9 (#74)
- GPT-5.6 Sol: 48.9 (#8)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| LMArena Vision | 1158 | 1281 |
| GeoBench | 77% | — |
| Blueprint-Bench 2 | — | 33.6% |
| Furniture Assembly | — | 56.7% |
| LMArena Document | — | 1483 |

## Multilingual

- Gemini 2.0 Flash (Feb 2025): 47.6 (#144)
- GPT-5.6 Sol: 55.4 (#32)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| LMArena Non-English | 1342 | 1450 |
| LMArena Chinese | 1373 | 1523 |
| LMArena French | 1390 | 1475 |
| LMArena German | 1354 | 1476 |
| LMArena Japanese | 1293 | 1475 |
| LMArena Korean | 1314 | 1434 |
| LMArena Russian | 1351 | 1466 |
| LMArena Spanish | 1363 | 1449 |

## Instruction Following

- Gemini 2.0 Flash (Feb 2025): 74.6 (#91)
- GPT-5.6 Sol: 77.8 (#16)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| LMArena Instruction Following | 1336 | 1480 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |

## Long Context

- Gemini 2.0 Flash (Feb 2025): 38.1 (#198)
- GPT-5.6 Sol: 45.3 (#42)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| LMArena Longer Query | 1345 | 1479 |
| Fiction.LiveBench | 61.1% | — |

## Writing & Preference

- Gemini 2.0 Flash (Feb 2025): 49.8 (#184)
- GPT-5.6 Sol: 73.5 (#12)

| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Sol |
|---|---|---|
| LMArena Text | 1354 | 1456 |
| LMArena Creative Writing | 1340 | 1450 |
| EQ-Bench Creative Writing | 1128 | 1972 |
| LMArena Multi-Turn | 1350 | 1456 |
| Short-Story Creative Writing | 73.8% | — |
| WildBench | 80% | — |
| EQ-Bench 4 | — | 1250 |
| LiveBench Language | 51.3% | — |

## FAQ

### Is Gemini 2.0 Flash (Feb 2025) better than GPT-5.6 Sol?

GPT-5.6 Sol is the stronger model overall, scoring 64.4 to 34.8 on the Noometry Index.

### Is Gemini 2.0 Flash (Feb 2025) or GPT-5.6 Sol better for coding?

GPT-5.6 Sol scores higher on coding benchmarks: 61.1 versus 28.2 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-5.6 Sol share?

28 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-5.6 Sol has 64.