# Gemini 1.5 Flash 8B vs gpt-oss-120b

> gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-8b-vs-gpt-oss-120b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 1.5 Flash 8B scores higher in 3 categories and gpt-oss-120b in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 14.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.6% for Gemini 1.5 Flash 8B and 88.9% for gpt-oss-120b.
- gpt-oss-120b has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 29.9 | 36.3 |
| Rank | 301 | 217 |
| Context | — | 131K |
| Input $/M | — | $0.037 |
| Output $/M | — | $0.17 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Flash 8B: 35.5 (#225)
- gpt-oss-120b: 33.5 (#256)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1218 | 1380 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |

## Agentic & Tool Use

- Gemini 1.5 Flash 8B: —
- gpt-oss-120b: 12.2 (#153)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |

## Reasoning

- Gemini 1.5 Flash 8B: 20.0 (#244)
- gpt-oss-120b: 20.0 (#245)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| LMArena Hard Prompts | 1209 | 1364 |
| DTBench | 50% | 76.3% |
| SimpleBench | — | 22.1% |
| Kagi LLM Benchmark | — | 58.6% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 2% |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |
| Epoch Capabilities Index | — | 139.93 |

## Math

- Gemini 1.5 Flash 8B: 14.2 (#302)
- gpt-oss-120b: 52.5 (#50)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.6% | 88.9% |
| LMArena Math | 1207 | 1389 |
| Omni-MATH | — | 68.8% |

## Knowledge

- Gemini 1.5 Flash 8B: 16.0 (#289)
- gpt-oss-120b: 42.4 (#96)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| GPQA Diamond | 33% | 75.8% |
| LMArena Expert | 1185 | 1356 |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |

## Multimodal

- Gemini 1.5 Flash 8B: 28.2 (#115)
- gpt-oss-120b: —

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| LMArena Vision | 1044 | — |

## Multilingual

- Gemini 1.5 Flash 8B: 38.5 (#229)
- gpt-oss-120b: 48.0 (#147)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1215 | 1351 |
| LMArena Chinese | 1231 | 1385 |
| LMArena French | 1234 | 1369 |
| LMArena German | 1206 | 1353 |
| LMArena Japanese | 1150 | 1331 |
| LMArena Korean | 1140 | 1282 |
| LMArena Russian | 1236 | 1343 |
| LMArena Spanish | 1212 | 1389 |

## Instruction Following

- Gemini 1.5 Flash 8B: 62.8 (#236)
- gpt-oss-120b: 69.3 (#173)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1199 | 1318 |
| IFEval | — | 83.6% |

## Long Context

- Gemini 1.5 Flash 8B: 37.0 (#225)
- gpt-oss-120b: 31.4 (#278)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1219 | 1319 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Gemini 1.5 Flash 8B: 42.8 (#232)
- gpt-oss-120b: 46.5 (#217)

| Benchmark | Gemini 1.5 Flash 8B | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1226 | 1365 |
| LMArena Creative Writing | 1218 | 1275 |
| LMArena Multi-Turn | 1185 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |

## FAQ

### Is Gemini 1.5 Flash 8B better than gpt-oss-120b?

gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.9 on the Noometry Index.

### Is Gemini 1.5 Flash 8B or gpt-oss-120b better for coding?

Gemini 1.5 Flash 8B scores higher on coding benchmarks: 35.5 versus 33.5 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash 8B and gpt-oss-120b share?

20 benchmarks have published results for both models. Gemini 1.5 Flash 8B has 21 scored results on Noometry and gpt-oss-120b has 48.