Gemini 3.8 Flash
Lineage
- Company
- Google
- Gemini Flash family
- Gemini 3.1 Flash-LiteGemini 3.5 FlashGemini 3.5 Flash-LiteGemini 3.6 FlashGemini 3.7 FlashGemini 3.8 Flashthe family
- Assistants that offer it
Perplexitypaid plan, Pro, Max (official page ↗)Geminiselectable, Free, link given for the family (official page ↗)Geminipaid plan, Google AI Plus, AI Pro, AI Ultra, link given for the family (official page ↗)- API price
- not recorded
Links read on 10/11/2026 on company pages, the press as a fallback; a link given for a family applies only to its latest version.
Rank in each benchmark
- General intelligenceEpoch AI, ECI index158.7156.6 to 160.922nd out of 71
- User preferenceLMArena, Elo score14979th out of 68
- Agent tasksEpoch AI, APEX-Agents64.3 %54.1 to 74.514th out of 52
- Coding tasksEpoch AI, CursorBench39.6 %15th out of 18
- Code repairEpoch AI, DeepSWE73.8 %2nd out of 26
Each segment of the bar is worth a tenth of the ranking; the 1st groups the best ranked. Rank among models released in 2026 and measured by the benchmark. Sources: Epoch AI, "Capabilities & benchmarking" (CC BY 4.0); LMArena, text with style control (CC BY 4.0); data as of 10 November 2026.
Effort settings
| Setting | Electricity use of a task | Tasks completed | Tokens per task |
|---|---|---|---|
| CursorBench, coding tasks | |||
| medium | not estimated | 37.3 % | 128,364 |
| high | not estimated | 39.6 % | 162,565 |
| DeepSWE, code repair | |||
| medium | not estimated | 71.0 % | 124,684 |
| high | not estimated | 73.8 % | 143,243 |
Estimation methodology
The effort setting says how much the model reasons before answering: the higher it is, the more tokens it writes, and the more electricity the task needs. Tokens per task are measured by Epoch AI.
Electricity: Projet Celsius estimate. Tokens of the task × electricity ofwriting 1,000 tokens for the size of the model (AI Impact Database, IA-0011), × the data centre overhead (PUE). The scope covers computing on the servers and cooling; it does not cover chip manufacturing, training, the network or the device. CursorBench counts tokens read and written together: the range runs from "all read" to "all written". DeepSWE counts tokens written: the range starts from writing alone.
Model size unknown: electricity use is not estimated. Benchmark: a quick question to an assistant needs about 0.3 Wh.
Gemini 3.8 Flash among Google's models, general intelligence
Epoch AI ECI index and its 95% interval, by release date; 9 Google models released in 2026 and measured by the ECI index
Dot: the index measured, at the release dateLine: the 95% intervalGemini 3.8 Flash
Source: Epoch AI, "Capabilities & benchmarking", ECI index. CC BY 4.0 licence.
Continue in the ranking
The full ranking →CompanyGoogle11models measured, of which 8 with an entryIts assistant, its models, its governance and the electricity of its data centres.The entry →ModelGoogleGemini 3.7 Flash24thout of 71 on general intelligenceThe previous version of Gemini Flash.The entry →AssistantGemini71out of 100, 2nd out of 10One of the 2 assistants in the ranking that offer Gemini 3.8 Flash.The entry →The hub newsletter
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