# Gemini 2.5 Flash-Lite vs Olmo 3 32b Think

> Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-olmo-3-32b-think
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 4 categories and Olmo 3 32b Think in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 2.5 Flash-Lite leads 49.3 to 41.2.
- Olmo 3 32b Think has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| Provider | Google | Allen Institute for AI (Ai2) |
| Noometry Index | 37.0 | 38.7 |
| Rank | 211 | 183 |
| Context | 1.05M | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.40 | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.5 (#173)
- Olmo 3 32b Think: 38.6 (#172)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1373 | 1319 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 28.0 (#96)
- Olmo 3 32b Think: —

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |

## Reasoning

- Gemini 2.5 Flash-Lite: 22.2 (#205)
- Olmo 3 32b Think: 25.9 (#140)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1302 |
| Kagi LLM Benchmark | 40.5% | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |

## Math

- Gemini 2.5 Flash-Lite: 38.0 (#144)
- Olmo 3 32b Think: 36.5 (#165)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1373 | 1316 |
| Omni-MATH | 48% | — |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.5 (#210)
- Olmo 3 32b Think: 35.0 (#190)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1373 | 1273 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 29.1 (#114)
- Olmo 3 32b Think: —

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.3 (#134)
- Olmo 3 32b Think: 41.2 (#210)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1369 | 1255 |
| LMArena Chinese | 1404 | 1300 |
| LMArena French | 1388 | 1291 |
| LMArena German | 1389 | 1290 |
| LMArena Russian | 1373 | 1254 |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Spanish | 1396 | — |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.0 (#168)
- Olmo 3 32b Think: 67.2 (#198)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1367 | 1275 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#262)
- Olmo 3 32b Think: 39.4 (#182)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1373 | 1296 |
| Fiction.LiveBench | 47.2% | — |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 56.8 (#135)
- Olmo 3 32b Think: 49.1 (#193)

| Benchmark | Gemini 2.5 Flash-Lite | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1379 | 1300 |
| LMArena Creative Writing | 1367 | 1256 |
| LMArena Multi-Turn | 1366 | 1290 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Olmo 3 32b Think?

Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 37.0 on the Noometry Index.

### Is Gemini 2.5 Flash-Lite or Olmo 3 32b Think better for coding?

They score almost the same on coding (38.5 vs 38.6); test both on your own repository before choosing.

### How many benchmarks do Gemini 2.5 Flash-Lite and Olmo 3 32b Think share?

14 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Olmo 3 32b Think has 14.
