Google, proprietary

# Gemini 2.0 Flash-Lite

> Gemini 2.0 Flash-Lite by Google, released February 2025. Ranked #194 of 354 with a Noometry Index of 37.8. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/gemini-2-0-flash-lite
- Last updated: 2026-10-10
- Title: Gemini 2.0 Flash-Lite Benchmarks, Price & Rank (October 2026)

Gemini 2.0 Flash-Lite by Google ranks 194th of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.8. Its strongest category is multimodal, where it ranks 109th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #194 of 354
- **Index score:** 37.8
- **Evidence:** Confirmed 32 results
- **Provider:** [![](/logos/google.svg) Google](https://noometry.com/providers/google)
- **Released:** February 5, 2025
- **Weights:** Proprietary
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Gemini 2.0 Flash-Lite category scores

1.  Coding 37.9
2.  Reasoning 22.0
3.  Math 34.1
4.  Knowledge 35.0
5.  Multimodal 31.2
6.  Multilingual 46.0
7.  Instruction Following 70.4
8.  Long Context 40.1
9.  Writing & Preference 51.7
10.  020406080

Gemini 2.0 Flash-Lite category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 37.9 | #185 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 22.0 | #210 | 4 |
| [Math](https://noometry.com/best/math) | 34.1 | #196 | 3 |
| [Knowledge](https://noometry.com/best/knowledge) | 35.0 | #189 | 3 |
| [Multimodal](https://noometry.com/best/multimodal) | 31.2 | #109 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 46.0 | #161 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 70.4 | #163 | 3 |
| [Long Context](https://noometry.com/best/long-context) | 40.1 | #160 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 51.7 | #177 | 5 |

## Strengths and weaknesses

Categories where Gemini 2.0 Flash-Lite places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Gemini 2.0 Flash-Lite: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Instruction Following](https://noometry.com/best/instruction-following) | 70.4 | −0.9 | #163 of 305, top 54% |
| [Long Context](https://noometry.com/best/long-context) | 40.1 | −0.8 | #160 of 296, top 55% |
| [Multilingual](https://noometry.com/best/multilingual) | 46.0 | −1.4 | #161 of 297, top 55% |

### Weakest categories

Gemini 2.0 Flash-Lite: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multimodal](https://noometry.com/best/multimodal) | 31.2 | −7.3 | #109 of 128, top 86% |
| [Knowledge](https://noometry.com/best/knowledge) | 35.0 | −2.3 | #189 of 314, top 61% |
| [Reasoning](https://noometry.com/best/reasoning) | 22.0 | −1.6 | #210 of 350, top 60% |

## Closest competitors

The models ranked just above and below Gemini 2.0 Flash-Lite. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Gemini 2.0 Flash-Lite
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | #190 | 38.1 | $3 | 67 | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-qwen3-coder-480b-a35b-instruct) |
| [Olmo 3.1 32b Think](https://noometry.com/models/olmo-3-1-32b-think) | #191 | 37.9 | — | — | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-olmo-3-1-32b-think) |
| [GPT-5-Codex](https://noometry.com/models/gpt-5-codex) | #192 | 37.9 | $3.44 | 95 | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-gpt-5-codex) |
| [Hunyuan Standard 2025 02 10](https://noometry.com/models/hunyuan-standard) | #193 | 37.9 | — | — | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-hunyuan-standard) |
| [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) | #195 | 37.8 | — | 18 | [Compare](https://noometry.com/compare/deepseek-r1-distill-llama-70b-vs-gemini-2-0-flash-lite) |
| [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | #196 | 37.7 | $0.52 | — | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-minimax-m2-7) |
| [Gemini Advanced 0514](https://noometry.com/models/gemini-advanced) | #197 | 37.7 | — | — | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-gemini-advanced) |
| [Grok 2 Mini 2024 08 13](https://noometry.com/models/grok-2-mini) | #198 | 37.7 | — | — | [Compare](https://noometry.com/compare/gemini-2-0-flash-lite-vs-grok-2-mini) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Gemini 2.0 Flash-Lite Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Coding](https://noometry.com/benchmarks/livebench-coding) | 43.8% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Coding](https://noometry.com/benchmarks/livebench-coding) | 47.1% | #19 of 39, top 49% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1322 | #182 of 294, top 62% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Gemini 2.0 Flash-Lite Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning) | 44.9% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning) | 50.1% | #20 of 39, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1324 | #178 of 297, top 60% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 52.5% | #128 of 151, top 85% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Data Analysis](https://noometry.com/benchmarks/livebench-data-analysis) | 65.5% | #10 of 39, top 26% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Data Analysis](https://noometry.com/benchmarks/livebench-data-analysis) | 57.5% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 57.1 | #60 of 72, top 84% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench](https://noometry.com/benchmarks/livebench) | 53.2% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench](https://noometry.com/benchmarks/livebench) | 54.3% | #18 of 39, top 47% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Gemini 2.0 Flash-Lite Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Omni-MATH](https://noometry.com/benchmarks/omni-math) | 37.4% | #29 of 57, top 51% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LiveBench Math](https://noometry.com/benchmarks/livebench-math) | 58.1% | #16 of 39, top 42% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Math](https://noometry.com/benchmarks/livebench-math) | 55.5% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1309 | #177 of 285, top 63% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Gemini 2.0 Flash-Lite Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [MMLU-Pro](https://noometry.com/benchmarks/mmlu-pro) | 72% | #34 of 58, top 59% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [GPQA (HELM)](https://noometry.com/benchmarks/helm-gpqa) | 50% | #35 of 57, top 62% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1305 | #176 of 273, top 65% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Gemini 2.0 Flash-Lite Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1100 | #107 of 122, top 88% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |

### Multilingual

Gemini 2.0 Flash-Lite Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1323 | #161 of 297, top 55% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1339 | #173 of 285, top 61% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1347 | #145 of 223, top 66% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1306 | #148 of 231, top 65% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1301 | #121 of 211, top 58% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1325 | #115 of 213, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1328 | #162 of 283, top 58% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1313 | #157 of 226, top 70% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Gemini 2.0 Flash-Lite Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Instruction Following](https://noometry.com/benchmarks/livebench-if) | 76.6% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Instruction Following](https://noometry.com/benchmarks/livebench-if) | 78.3% | #12 of 39, top 31% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [IFEval](https://noometry.com/benchmarks/ifeval) | 82.4% | #32 of 57, top 57% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1305 | #174 of 298, top 59% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Gemini 2.0 Flash-Lite Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1320 | #171 of 291, top 59% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Gemini 2.0 Flash-Lite Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1330 | #173 of 297, top 59% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1319 | #154 of 295, top 53% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [WildBench](https://noometry.com/benchmarks/wildbench) | 79% | #36 of 57, top 64% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1307 | #184 of 295, top 63% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Language](https://noometry.com/benchmarks/livebench-language) | 33.6% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Language](https://noometry.com/benchmarks/livebench-language) | 34.3% | #24 of 39, top 62% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare Gemini 2.0 Flash-Lite

-   [Gemini 2.0 Flash-Lite vs Hunyuan Standard 2025 02 10](https://noometry.com/compare/gemini-2-0-flash-lite-vs-hunyuan-standard)
-   [Gemini 2.0 Flash-Lite vs DeepSeek-R1-Distill-Llama-70B](https://noometry.com/compare/deepseek-r1-distill-llama-70b-vs-gemini-2-0-flash-lite)
-   [Gemini 2.0 Flash-Lite vs GPT-5-Codex](https://noometry.com/compare/gemini-2-0-flash-lite-vs-gpt-5-codex)
-   [Gemini 2.0 Flash-Lite vs MiniMax-M2.7](https://noometry.com/compare/gemini-2-0-flash-lite-vs-minimax-m2-7)
-   [Gemini 2.0 Flash-Lite vs Olmo 3.1 32b Think](https://noometry.com/compare/gemini-2-0-flash-lite-vs-olmo-3-1-32b-think)
-   [Gemini 2.0 Flash-Lite vs Gemini Advanced 0514](https://noometry.com/compare/gemini-2-0-flash-lite-vs-gemini-advanced)
-   [Gemini 2.0 Flash-Lite vs GPT-6 Astra](https://noometry.com/compare/gemini-2-0-flash-lite-vs-gpt-6-astra)
-   [Gemini 2.0 Flash-Lite vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gemini-2-0-flash-lite)
-   [Gemini 2.0 Flash-Lite vs Kimi K3](https://noometry.com/compare/gemini-2-0-flash-lite-vs-kimi-k3)
-   [Gemini 2.0 Flash-Lite vs Grok 4.6](https://noometry.com/compare/gemini-2-0-flash-lite-vs-grok-4-6)
-   [Gemini 2.0 Flash-Lite vs Qwen3.8 Max](https://noometry.com/compare/gemini-2-0-flash-lite-vs-qwen3-8-max)
-   [Gemini 2.0 Flash-Lite vs GLM-5.3](https://noometry.com/compare/gemini-2-0-flash-lite-vs-glm-5-3)
-   [Gemini 2.0 Flash-Lite vs Muse Spark 1.3](https://noometry.com/compare/gemini-2-0-flash-lite-vs-muse-spark-1-3)
-   [Gemini 2.0 Flash-Lite vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-gemini-2-0-flash-lite)

## Other Google models

-   [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash)61.8
-   [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash)59.8
-   [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview)56.7
-   [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon)56.5
-   [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro)54.8
-   [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash)54.2
-   [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash)54.1
-   [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview)52.3

## Frequently asked questions

### How good is Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite by Google ranks 194th of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.8. Its strongest category is multimodal, where it ranks 109th.

### Is Gemini 2.0 Flash-Lite open source?

No. Gemini 2.0 Flash-Lite is proprietary and available only through Google's API and partner platforms.

### What are Gemini 2.0 Flash-Lite's strengths and weaknesses?

Relative to other ranked models, Gemini 2.0 Flash-Lite places best in instruction following, long context, multilingual and lowest in multimodal, knowledge, reasoning.

### What is Gemini 2.0 Flash-Lite best at?

Its best category is multimodal, where it ranks 109th on Noometry.

### Cite this page

Noometry. (2026). Gemini 2.0 Flash-Lite benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/gemini-2-0-flash-lite

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/gemini-2-0-flash-lite.md).