Google, proprietary
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.
Last verified
Specifications
- Noometry rank
- #194 of 354
- Index score
- 37.8
- Evidence
- Confirmed 32 results
- Provider
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.
- Coding 37.9
- Reasoning 22.0
- Math 34.1
- Knowledge 35.0
- Multimodal 31.2
- Multilingual 46.0
- Instruction Following 70.4
- Long Context 40.1
- Writing & Preference 51.7
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 37.9 | #185 | 2 |
| Reasoning | 22.0 | #210 | 4 |
| Math | 34.1 | #196 | 3 |
| Knowledge | 35.0 | #189 | 3 |
| Multimodal | 31.2 | #109 | 1 |
| Multilingual | 46.0 | #161 | 1 |
| Instruction Following | 70.4 | #163 | 3 |
| Long Context | 40.1 | #160 | 1 |
| Writing & Preference | 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
| Category | Score | vs median | Rank |
|---|---|---|---|
| Instruction Following | 70.4 | −0.9 | #163 of 305, top 54% |
| Long Context | 40.1 | −0.8 | #160 of 296, top 55% |
| Multilingual | 46.0 | −1.4 | #161 of 297, top 55% |
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Multimodal | 31.2 | −7.3 | #109 of 128, top 86% |
| Knowledge | 35.0 | −2.3 | #189 of 314, top 61% |
| 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.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Qwen3-Coder 480B-A35B Instruct | #190 | 38.1 | $3 | 67 | Compare |
| Olmo 3.1 32b Think | #191 | 37.9 | — | — | Compare |
| GPT-5-Codex | #192 | 37.9 | $3.44 | 95 | Compare |
| Hunyuan Standard 2025 02 10 | #193 | 37.9 | — | — | Compare |
| DeepSeek-R1-Distill-Llama-70B | #195 | 37.8 | — | 18 | Compare |
| MiniMax-M2.7 | #196 | 37.7 | $0.52 | — | Compare |
| Gemini Advanced 0514 | #197 | 37.7 | — | — | Compare |
| Grok 2 Mini 2024 08 13 | #198 | 37.7 | — | — | Compare |
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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
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LiveBench Coding | 43.8% | Epoch AI | |||
| LiveBench Coding | 47.1% | #19 of 39, top 49% | Epoch AI | ||
| LMArena Coding | 1322 | #182 of 294, top 62% | LMArena | 2026-10-08 |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LiveBench Reasoning | 44.9% | Epoch AI | |||
| LiveBench Reasoning | 50.1% | #20 of 39, top 52% | Epoch AI | ||
| LMArena Hard Prompts | 1324 | #178 of 297, top 60% | LMArena | 2026-10-08 | |
| DTBench | 52.5% | #128 of 151, top 85% | Epoch AI | ||
| LiveBench Data Analysis | 65.5% | #10 of 39, top 26% | Epoch AI | ||
| LiveBench Data Analysis | 57.5% | Epoch AI | |||
| ForecastBench | 57.1 | #60 of 72, top 84% | Epoch AI | ||
| LiveBench | 53.2% | Epoch AI | |||
| LiveBench | 54.3% | #18 of 39, top 47% | Epoch AI |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| Omni-MATH | 37.4% | #29 of 57, top 51% | HELM Capabilities | ||
| LiveBench Math | 58.1% | #16 of 39, top 42% | Epoch AI | ||
| LiveBench Math | 55.5% | Epoch AI | |||
| LMArena Math | 1309 | #177 of 285, top 63% | LMArena | 2026-10-08 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| MMLU-Pro | 72% | #34 of 58, top 59% | HELM Capabilities | ||
| GPQA (HELM) | 50% | #35 of 57, top 62% | HELM Capabilities | ||
| LMArena Expert | 1305 | #176 of 273, top 65% | LMArena | 2026-10-08 |
Multimodal
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Vision | 1100 | #107 of 122, top 88% | LMArena | 2026-10-09 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1323 | #161 of 297, top 55% | LMArena | 2026-10-08 | |
| LMArena Chinese | 1339 | #173 of 285, top 61% | LMArena | 2026-10-08 | |
| LMArena French | 1347 | #145 of 223, top 66% | LMArena | 2026-10-08 | |
| LMArena German | 1306 | #148 of 231, top 65% | LMArena | 2026-10-08 | |
| LMArena Japanese | 1301 | #121 of 211, top 58% | LMArena | 2026-10-08 | |
| LMArena Korean | 1325 | #115 of 213, top 54% | LMArena | 2026-10-08 | |
| LMArena Russian | 1328 | #162 of 283, top 58% | LMArena | 2026-10-08 | |
| LMArena Spanish | 1313 | #157 of 226, top 70% | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LiveBench Instruction Following | 76.6% | Epoch AI | |||
| LiveBench Instruction Following | 78.3% | #12 of 39, top 31% | Epoch AI | ||
| IFEval | 82.4% | #32 of 57, top 57% | HELM Capabilities | ||
| LMArena Instruction Following | 1305 | #174 of 298, top 59% | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1320 | #171 of 291, top 59% | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1330 | #173 of 297, top 59% | LMArena | 2026-10-08 | |
| LMArena Creative Writing | 1319 | #154 of 295, top 53% | LMArena | 2026-10-08 | |
| WildBench | 79% | #36 of 57, top 64% | HELM Capabilities | ||
| LMArena Multi-Turn | 1307 | #184 of 295, top 63% | LMArena | 2026-10-08 | |
| LiveBench Language | 33.6% | Epoch AI | |||
| LiveBench Language | 34.3% | #24 of 39, top 62% | Epoch AI |
Compare Gemini 2.0 Flash-Lite
- Gemini 2.0 Flash-Lite vs Hunyuan Standard 2025 02 10
- Gemini 2.0 Flash-Lite vs DeepSeek-R1-Distill-Llama-70B
- Gemini 2.0 Flash-Lite vs GPT-5-Codex
- Gemini 2.0 Flash-Lite vs MiniMax-M2.7
- Gemini 2.0 Flash-Lite vs Olmo 3.1 32b Think
- Gemini 2.0 Flash-Lite vs Gemini Advanced 0514
- Gemini 2.0 Flash-Lite vs GPT-6 Astra
- Gemini 2.0 Flash-Lite vs Claude Fable 5.1
- Gemini 2.0 Flash-Lite vs Kimi K3
- Gemini 2.0 Flash-Lite vs Grok 4.6
- Gemini 2.0 Flash-Lite vs Qwen3.8 Max
- Gemini 2.0 Flash-Lite vs GLM-5.3
- Gemini 2.0 Flash-Lite vs Muse Spark 1.3
- Gemini 2.0 Flash-Lite vs DeepSeek V4 Pro
Other Google models
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.