# Gemini 2.5 Flash-Lite vs Qwen3.6 Plus

> Qwen3.6 Plus is the stronger model overall, scoring 47.3 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 6.4× less per token, which makes it the better buy when Qwen3.6 Plus's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-qwen3-6-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 0 categories and Qwen3.6 Plus in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 32.1.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 81.9% for Qwen3.6 Plus.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.50 / $3 for Qwen3.6 Plus.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 36.4 | 47.3 |
| Rank | 208 | 54 |
| Context | 1.05M | 1M |
| Input $/M | $0.10 | $0.50 |
| Output $/M | $0.40 | $3 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- Qwen3.6 Plus: 40.6 (#125)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Coding | 1373 | 1467 |
| ALE-Bench | 325.9 | 670.15 |
| SWE-bench Verified | — | 57.9% |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| WeirdML | 35.2% | — |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- Qwen3.6 Plus: —

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| Vending-Bench 2 | — | 5,115 |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- Qwen3.6 Plus: 28.5 (#89)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1449 |
| DTBench | 62.8% | 81.9% |
| LMCA | 18.1% | 33.1% |
| Epoch Capabilities Index | 133.93 | 147.67 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- Qwen3.6 Plus: 50.6 (#44)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Math | 1373 | 1450 |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| Omni-MATH | 48% | — |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- Qwen3.6 Plus: 56.1 (#40)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Expert | 1373 | 1456 |
| GPQA Diamond | — | 88.4% |
| SimpleQA Verified | — | 44.1% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- Qwen3.6 Plus: —

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- Qwen3.6 Plus: 53.5 (#66)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1369 | 1424 |
| LMArena Chinese | 1404 | 1478 |
| LMArena French | 1388 | 1454 |
| LMArena German | 1390 | 1451 |
| LMArena Japanese | 1359 | 1389 |
| LMArena Korean | 1358 | 1381 |
| LMArena Russian | 1373 | 1434 |
| LMArena Spanish | 1396 | 1432 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- Qwen3.6 Plus: 75.2 (#70)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1366 | 1425 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- Qwen3.6 Plus: 45.1 (#48)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1373 | 1440 |
| Fiction.LiveBench | 47.2% | — |
| CL-bench | — | 20.3% |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- Qwen3.6 Plus: 62.4 (#78)

| Benchmark | Gemini 2.5 Flash-Lite | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1379 | 1437 |
| LMArena Creative Writing | 1366 | 1405 |
| LMArena Multi-Turn | 1367 | 1438 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Qwen3.6 Plus?

Qwen3.6 Plus is the stronger model overall, scoring 47.3 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 6.4× less per token, which makes it the better buy when Qwen3.6 Plus's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3.6 Plus?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3.6 Plus lists at $0.50 and $3.

### Is Gemini 2.5 Flash-Lite or Qwen3.6 Plus better for coding?

Qwen3.6 Plus scores higher on coding benchmarks: 40.6 versus 38.0 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 Qwen3.6 Plus share?

21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3.6 Plus has 37.