# Gemini 2.5 Flash-Lite vs gpt-oss-120b

> Gemini 2.5 Flash-Lite and gpt-oss-120b score almost the same on the Noometry Index (36.4 vs 36.0), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-gpt-oss-120b
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and gpt-oss-120b in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Gemini 2.5 Flash-Lite leads 27.8 to 12.1.
- The biggest single-benchmark swing is GPQA (HELM): 30.9% for Gemini 2.5 Flash-Lite and 68.4% for gpt-oss-120b.
- gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $0.10 / $0.40 for Gemini 2.5 Flash-Lite.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- gpt-oss-120b has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 36.4 | 36.0 |
| Rank | 208 | 210 |
| Context | 1.05M | 131K |
| Input $/M | $0.10 | $0.037 |
| Output $/M | $0.40 | $0.17 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- gpt-oss-120b: 33.2 (#251)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| WeirdML | 35.2% | 48.2% |
| LMArena Coding | 1373 | 1380 |
| ALE-Bench | 325.9 | 575.62 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| AlgoTune | — | 1.41 |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- gpt-oss-120b: 12.1 (#145)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- gpt-oss-120b: 19.5 (#236)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 58.6% |
| LMArena Hard Prompts | 1377 | 1364 |
| DTBench | 62.8% | 76.3% |
| LMCA | 18.1% | 22.1% |
| Epoch Capabilities Index | 133.93 | 139.94 |
| SimpleBench | — | 22.1% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 2% |
| Surface Evolver Bench | — | 25% |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- gpt-oss-120b: 50.6 (#43)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| Omni-MATH | 48% | 68.8% |
| LMArena Math | 1373 | 1388 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- gpt-oss-120b: 42.3 (#89)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| MMLU-Pro | 53.7% | 79.5% |
| Vectara Hallucination Rate | 3.3% | 14.2% |
| GPQA (HELM) | 30.9% | 68.4% |
| LMArena Expert | 1373 | 1356 |
| GPQA Diamond | — | 75.8% |
| Confabulations | — | 15.7% |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- gpt-oss-120b: —

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- gpt-oss-120b: 48.2 (#142)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1369 | 1350 |
| LMArena Chinese | 1404 | 1384 |
| LMArena French | 1388 | 1370 |
| LMArena German | 1390 | 1355 |
| LMArena Japanese | 1359 | 1332 |
| LMArena Korean | 1358 | 1283 |
| LMArena Russian | 1373 | 1343 |
| LMArena Spanish | 1396 | 1388 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- gpt-oss-120b: 69.5 (#168)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| IFEval | 81% | 83.6% |
| LMArena Instruction Following | 1366 | 1318 |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- gpt-oss-120b: 31.4 (#273)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| Fiction.LiveBench | 47.2% | 44.4% |
| LMArena Longer Query | 1373 | 1319 |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- gpt-oss-120b: 46.7 (#213)

| Benchmark | Gemini 2.5 Flash-Lite | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1379 | 1366 |
| LMArena Creative Writing | 1366 | 1274 |
| WildBench | 81.8% | 84.5% |
| LMArena Multi-Turn | 1367 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |

## FAQ

### Is Gemini 2.5 Flash-Lite better than gpt-oss-120b?

Gemini 2.5 Flash-Lite and gpt-oss-120b score almost the same on the Noometry Index (36.4 vs 36.0), so choose on price, context window or the category you care about most.

### Which is cheaper, Gemini 2.5 Flash-Lite or gpt-oss-120b?

gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.

### Is Gemini 2.5 Flash-Lite or gpt-oss-120b better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 33.2 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.

### How many benchmarks do Gemini 2.5 Flash-Lite and gpt-oss-120b share?

30 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and gpt-oss-120b has 48.