# Gemini 2.5 Flash-Lite vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 4.0× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-qwen3-7-plus
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 2 categories and Qwen3.7 Plus in 8 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 32.1.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 84% for Qwen3.7 Plus.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 36.4 | 45.0 |
| Rank | 208 | 66 |
| Context | 1.05M | 1M |
| Input $/M | $0.10 | $0.40 |
| Output $/M | $0.40 | $1.60 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- Qwen3.7 Plus: 36.1 (#200)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1373 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- Qwen3.7 Plus: 21.2 (#130)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| OSWorld 2.0 | — | 2.8% |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- Qwen3.7 Plus: 38.4 (#54)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1460 |
| DTBench | 62.8% | 84% |
| LMCA | 18.1% | 37.6% |
| Epoch Capabilities Index | 133.93 | 147.39 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Mystery Game Puzzles | — | 17% |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- Qwen3.7 Plus: 49.3 (#47)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1373 | 1467 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| Omni-MATH | 48% | — |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- Qwen3.7 Plus: 54.9 (#46)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1373 | 1467 |
| GPQA Diamond | — | 87.9% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- Qwen3.7 Plus: 41.2 (#30)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | 1198 | 1281 |
| VPCT | 30% | — |
| LMArena Document | — | 1444 |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- Qwen3.7 Plus: 55.0 (#36)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1369 | 1445 |
| LMArena Chinese | 1404 | 1510 |
| LMArena French | 1388 | 1471 |
| LMArena German | 1390 | 1471 |
| LMArena Japanese | 1359 | 1411 |
| LMArena Korean | 1358 | 1416 |
| LMArena Russian | 1373 | 1457 |
| LMArena Spanish | 1396 | 1453 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- Qwen3.7 Plus: 75.9 (#49)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1366 | 1439 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- Qwen3.7 Plus: 44.5 (#61)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1373 | 1454 |
| Fiction.LiveBench | 47.2% | — |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- Qwen3.7 Plus: 64.5 (#54)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1379 | 1454 |
| LMArena Creative Writing | 1366 | 1439 |
| LMArena Multi-Turn | 1367 | 1459 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 4.0× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3.7 Plus?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.

### Is Gemini 2.5 Flash-Lite or Qwen3.7 Plus better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 36.1 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1M.

### How many benchmarks do Gemini 2.5 Flash-Lite and Qwen3.7 Plus share?

21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3.7 Plus has 32.