# Gemini 2.0 Flash-Lite vs GPT-5.4

> GPT-5.4 is the stronger model overall, scoring 59.5 to 37.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-0-flash-lite-vs-gpt-5-4
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 0 categories and GPT-5.4 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 leads 73.3 to 31.8.
- The biggest single-benchmark swing is DTBench: 52.5% for Gemini 2.0 Flash-Lite and 94.4% for GPT-5.4.

## Snapshot

| | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 37.3 | 59.5 |
| Rank | 189 | 14 |
| Context | — | 1.05M |
| Input $/M | — | $2.50 |
| Output $/M | — | $15 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.0 Flash-Lite: 37.4 (#181)
- GPT-5.4: 52.8 (#28)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Coding | 1322 | 1497 |
| SWE-bench Verified | — | 76.9% |
| DeepSWE | — | 51.8% |
| LMArena WebDev | — | 1465 |
| SciCode | — | 56.6% |
| GSO | — | 31.4% |
| WeirdML | — | 77.7% |
| LiveBench Coding | 47.1% | — |
| MirrorCode | — | 15.6% |
| ALE-Bench | — | 1,607 |
| AlgoTune | — | 1.85 |

## Agentic & Tool Use

- Gemini 2.0 Flash-Lite: —
- GPT-5.4: 46.5 (#12)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| Terminal-Bench | — | 81.8% |
| APEX-Agents | — | 52.4% |
| τ²-bench Banking | — | 39.4% |
| DeepResearch Bench | — | 35.1% |
| PostTrainBench | — | 19% |
| GBAEval | — | 45.1% |
| LMArena Search | — | 1197 |
| METR Time Horizons | — | 74.3% |
| Vending-Bench 2 | — | 6,144 |

## Reasoning

- Gemini 2.0 Flash-Lite: 21.2 (#203)
- GPT-5.4: 61.7 (#17)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1485 |
| DTBench | 52.5% | 94.4% |
| ForecastBench | 57.1 | 59.5 |
| ARC-AGI-2 | — | 74% |
| Kagi LLM Benchmark | — | 63.8% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 93.7% |
| CritPt | — | 23.4% |
| Chess Puzzles | — | 44% |
| EnigmaEval | — | 16% |
| Thematic Generalization | — | 80% |
| EBR-Bench | — | 25.4% |
| LiveBench Reasoning | 50.1% | — |
| Mystery Game Puzzles | — | 37% |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | — | 52% |
| Epoch Capabilities Index | — | 156.92 |
| LiveBench | 54.3% | — |

## Math

- Gemini 2.0 Flash-Lite: 31.8 (#192)
- GPT-5.4: 73.3 (#14)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Math | 1309 | 1488 |
| FrontierMath (Tiers 1-3) | — | 78.6% |
| FrontierMath Tier 4 | — | 49% |
| MathArena Final-Answer Competitions | — | 83.1% |
| OTIS Mock AIME 2024-2025 | — | 97.8% |
| ProofBench | — | 56% |
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
| FrontierMath (Feb 2025 set) | — | 47.6% |
| FrontierMath Tier 4 (v1) | — | 27.1% |

## Knowledge

- Gemini 2.0 Flash-Lite: 34.6 (#185)
- GPT-5.4: 65.3 (#13)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Expert | 1305 | 1507 |
| GPQA Diamond | — | 93.3% |
| Humanity's Last Exam | — | 36.2% |
| SimpleQA Verified | — | 45.1% |
| MMLU-Pro | 72% | — |
| Vectara Hallucination Rate | — | 7% |
| GPQA (HELM) | 50% | — |

## Multimodal

- Gemini 2.0 Flash-Lite: 30.6 (#103)
- GPT-5.4: 43.8 (#19)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Vision | 1100 | 1302 |
| Blueprint-Bench 2 | — | 27.1% |
| Furniture Assembly | — | 37.5% |
| LMArena Document | — | 1471 |

## Multilingual

- Gemini 2.0 Flash-Lite: 46.2 (#156)
- GPT-5.4: 56.4 (#22)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Non-English | 1323 | 1465 |
| LMArena Chinese | 1339 | 1520 |
| LMArena French | 1346 | 1493 |
| LMArena German | 1306 | 1472 |
| LMArena Japanese | 1302 | 1484 |
| LMArena Korean | 1325 | 1449 |
| LMArena Russian | 1328 | 1480 |
| LMArena Spanish | 1313 | 1453 |

## Instruction Following

- Gemini 2.0 Flash-Lite: 70.6 (#158)
- GPT-5.4: 77.3 (#25)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Instruction Following | 1305 | 1469 |
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |

## Long Context

- Gemini 2.0 Flash-Lite: 40.1 (#155)
- GPT-5.4: 50.3 (#8)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Longer Query | 1321 | 1474 |
| CL-bench | — | 27.9% |
| CL-bench Life | — | 21.7% |

## Writing & Preference

- Gemini 2.0 Flash-Lite: 51.9 (#172)
- GPT-5.4: 72.1 (#18)

| Benchmark | Gemini 2.0 Flash-Lite | GPT-5.4 |
|---|---|---|
| LMArena Text | 1330 | 1469 |
| LMArena Creative Writing | 1319 | 1439 |
| LMArena Multi-Turn | 1307 | 1482 |
| EQ-Bench Creative Writing | — | 1840 |
| WildBench | 79% | — |
| EQ-Bench 4 | — | 1272 |
| LiveBench Language | 34.3% | — |

## FAQ

### Is Gemini 2.0 Flash-Lite better than GPT-5.4?

GPT-5.4 is the stronger model overall, scoring 59.5 to 37.3 on the Noometry Index.

### Is Gemini 2.0 Flash-Lite or GPT-5.4 better for coding?

GPT-5.4 scores higher on coding benchmarks: 52.8 versus 37.4 in the Noometry coding category.

### How many benchmarks do Gemini 2.0 Flash-Lite and GPT-5.4 share?

20 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GPT-5.4 has 68.