# Gemini 2.5 Flash-Lite vs GPT-4

> Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-gpt-4
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and GPT-4 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 35.5 to 10.1.
- The biggest single-benchmark swing is WeirdML: 35.2% for Gemini 2.5 Flash-Lite and 12.4% for GPT-4.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $30 / $60 for GPT-4.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 8K.

## Snapshot

| | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 36.4 | 28.9 |
| Rank | 208 | 308 |
| Context | 1.05M | 8K |
| Input $/M | $0.10 | $30 |
| Output $/M | $0.40 | $60 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- GPT-4: 31.2 (#277)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| WeirdML | 35.2% | 12.4% |
| LMArena Coding | 1373 | 1254 |
| BigCodeBench Instruct | — | 46% |
| BigCodeBench Complete | — | 57.2% |
| ALE-Bench | 325.9 | — |
| HumanEval+ | — | 79.3% |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- GPT-4: —

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| METR Time Horizons | — | 36.1% |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- GPT-4: 17.3 (#285)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1241 |
| DTBench | 62.8% | 62.7% |
| LMCA | 18.1% | 17.1% |
| Epoch Capabilities Index | 133.93 | 125.88 |
| Kagi LLM Benchmark | 40.5% | — |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 12% |
| BIG-Bench Hard | — | 75.1% |
| ForecastBench | — | 57.8 |
| HellaSwag | — | 95.3% |
| WinoGrande | — | 87.5% |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- GPT-4: 10.1 (#304)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Math | 1373 | 1269 |
| OTIS Mock AIME 2024-2025 | — | 1.1% |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 23% |
| GSM8K | — | 92% |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- GPT-4: 18.4 (#277)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Expert | 1373 | 1211 |
| GPQA Diamond | — | 35.7% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| MMLU | — | 86.4% |
| TriviaQA | — | 84.8% |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- GPT-4: —

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- GPT-4: 40.8 (#210)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Non-English | 1369 | 1246 |
| LMArena Chinese | 1404 | 1242 |
| LMArena French | 1388 | 1282 |
| LMArena German | 1390 | 1251 |
| LMArena Japanese | 1359 | 1209 |
| LMArena Korean | 1358 | 1184 |
| LMArena Russian | 1373 | 1251 |
| LMArena Spanish | 1396 | 1261 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- GPT-4: 65.5 (#217)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Instruction Following | 1366 | 1241 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- GPT-4: 37.7 (#207)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Longer Query | 1373 | 1244 |
| Fiction.LiveBench | 47.2% | — |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- GPT-4: 35.0 (#263)

| Benchmark | Gemini 2.5 Flash-Lite | GPT-4 |
|---|---|---|
| LMArena Text | 1379 | 1263 |
| LMArena Creative Writing | 1366 | 1244 |
| LMArena Multi-Turn | 1367 | 1257 |
| EQ-Bench Creative Writing | — | 752 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than GPT-4?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 28.9 on the Noometry Index.

### Which is cheaper, Gemini 2.5 Flash-Lite or GPT-4?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4 lists at $30 and $60.

### Is Gemini 2.5 Flash-Lite or GPT-4 better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 31.2 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 8K.

### How many benchmarks do Gemini 2.5 Flash-Lite and GPT-4 share?

21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-4 has 38.