# Gemini 2.5 Flash-Lite vs Yi-1.5-34B

> Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-yi-1-5-34b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 6 categories and Yi-1.5-34B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 57.0 to 37.6.
- Yi-1.5-34B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| Provider | Google | 01.AI |
| Noometry Index | 36.4 | 30.2 |
| Rank | 208 | 286 |
| Context | 1.05M | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.40 | — |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- Yi-1.5-34B: 31.9 (#267)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1373 | 1169 |
| WeirdML | 35.2% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 325.9 | — |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- Yi-1.5-34B: —

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- Yi-1.5-34B: 21.5 (#195)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1160 |
| Kagi LLM Benchmark | 40.5% | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.93 | — |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- Yi-1.5-34B: 25.3 (#248)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1373 | 1182 |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 25.5% |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- Yi-1.5-34B: 14.8 (#290)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1373 | 1144 |
| GPQA Diamond | — | 32% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- Yi-1.5-34B: —

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- Yi-1.5-34B: 32.5 (#251)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1369 | 1121 |
| LMArena Chinese | 1404 | 1213 |
| LMArena French | 1388 | 1155 |
| LMArena German | 1390 | 1111 |
| LMArena Japanese | 1359 | 1021 |
| LMArena Korean | 1358 | 1005 |
| LMArena Russian | 1373 | 1091 |
| LMArena Spanish | 1396 | 1120 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- Yi-1.5-34B: 59.4 (#252)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1366 | 1139 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- Yi-1.5-34B: 34.6 (#243)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1373 | 1144 |
| Fiction.LiveBench | 47.2% | — |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- Yi-1.5-34B: 37.6 (#252)

| Benchmark | Gemini 2.5 Flash-Lite | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1379 | 1173 |
| LMArena Creative Writing | 1366 | 1135 |
| LMArena Multi-Turn | 1367 | 1153 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Yi-1.5-34B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 30.2 on the Noometry Index.

### Is Gemini 2.5 Flash-Lite or Yi-1.5-34B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 31.9 in the Noometry coding category.

### How many benchmarks do Gemini 2.5 Flash-Lite and Yi-1.5-34B share?

17 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Yi-1.5-34B has 21.