# Gemini 1.5 Flash 8B vs GPT-5.2 Codex

> GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-8b-vs-gpt-5-2-codex
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.2 Codex leads 45.4 to 34.9.

## Snapshot

| | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 29.7 | 42.2 |
| Rank | 292 | 107 |
| Context | — | 400K |
| Input $/M | — | $1.75 |
| Output $/M | — | $14 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 1.5 Flash 8B: 34.9 (#221)
- GPT-5.2 Codex: 45.4 (#66)

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| LMArena Coding | 1218 | — |
| ALE-Bench | — | 1,300 |

## Agentic & Tool Use

- Gemini 1.5 Flash 8B: —
- GPT-5.2 Codex: 40.7 (#20)

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |

## Reasoning

- Gemini 1.5 Flash 8B: 19.2 (#242)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| LMArena Hard Prompts | 1210 | — |
| DTBench | 50% | — |

## Math

- Gemini 1.5 Flash 8B: 13.3 (#296)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.6% | — |
| LMArena Math | 1207 | — |

## Knowledge

- Gemini 1.5 Flash 8B: 16.0 (#285)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| GPQA Diamond | 33% | — |
| LMArena Expert | 1185 | — |

## Multimodal

- Gemini 1.5 Flash 8B: 27.6 (#110)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| LMArena Vision | 1044 | — |

## Multilingual

- Gemini 1.5 Flash 8B: 38.6 (#224)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| LMArena Non-English | 1215 | — |
| LMArena Chinese | 1231 | — |
| LMArena French | 1233 | — |
| LMArena German | 1206 | — |
| LMArena Japanese | 1150 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1236 | — |
| LMArena Spanish | 1212 | — |

## Instruction Following

- Gemini 1.5 Flash 8B: 63.1 (#231)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1199 | — |

## Long Context

- Gemini 1.5 Flash 8B: 36.9 (#220)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1219 | — |

## Writing & Preference

- Gemini 1.5 Flash 8B: 43.0 (#227)
- GPT-5.2 Codex: —

| Benchmark | Gemini 1.5 Flash 8B | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1226 | — |
| LMArena Creative Writing | 1218 | — |
| LMArena Multi-Turn | 1185 | — |

## FAQ

### Is Gemini 1.5 Flash 8B better than GPT-5.2 Codex?

GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 29.7 on the Noometry Index.

### Is Gemini 1.5 Flash 8B or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 34.9 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash 8B and GPT-5.2 Codex share?

0 benchmarks have published results for both models. Gemini 1.5 Flash 8B has 21 scored results on Noometry and GPT-5.2 Codex has 5.