Gemini 3.1 Flash-Lite
GoogleGeminiProprietary
Description
Gemini 3.1 Flash-Lite is the first Flash-Lite model in the Gemini 3 series. It is optimized for high-volume, latency-sensitive tasks like translation, content moderation, and classification. It delivers enhanced performance at a fraction of the cost of larger models, with 2.5x faster Time to First Answer Token and 45% increased output speed compared to 2.5 Flash. Supports text, image, video, audio, and PDF input with a 1 million-token context window.
Release Date
2026-03-03
Parameters
—
Context Length
1.0M
Modalities
audio, image, pdf, text, video
Capability Radar
16
general
36
coding
82
reasoning
56
science
10
agents
80
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 90 | 37.0 | LS |
| Code Ranking | 288 | 52.0 | AA |
| General Ranking | 307 | 42.0 | AA |
| Multimodal Ranking | 46 | 58.0 | LS |
| Science | 221 | 57.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent v2
30.0%
Factuality
SimpleQA
43.3%SR
Language
MMMLU
88.9%SR
Legal
Legal Agent Benchmark
0.0%
Long Context
MRCR v2 (8-needle)
60.1%SR
Multimodal
VideoMMMU
84.8%SR
Reasoning
GPQANYU + Cohere + Anthropic (2023)
86.9%SR
CharXiv-R
73.2%SR
FACTS Grounding
40.6%SR
Humanity's Last Exam
16.0%SR
Vision
MMMU-Pro
76.8%SR
AA Evaluation Indices
(Artificial Analysis)Gpqa(NYU + Cohere + Anthropic (2023))82.2
Ifbench(Google Research (2023))77.2
Lcr(Artificial Analysis)74.3
Scicode(UIUC + Argonne National Lab (2024))43.4
Coding Index(Artificial Analysis)34.7
Tau2(Sierra + U Toronto + Vector Institute (2025))31.3
Terminalbench V2 131.1
Terminalbench Hard(Stanford × Laude Institute (2026))24.2
Hle(Center for AI Safety + Scale AI (2025))17.2
Intelligence Index(Artificial Analysis)15.6
Tau Banking9.7
Terminalbench V4 00.5
LLM Stats Category Scores
(LLM Stats (zeroeval))Language90
Physics90
Biology90
Chemistry90
Multimodal80
Reasoning60
Vision60
Math50
General50
Healthcare50
Long Context40
Factuality40
Grounding40
Finance30
Agents10
Legal0
Pricing
Input Price$0.25 / 1M tokens
Output Price$1.5 / 1M tokens
Blended Price (3:1)$0.563 / 1M tokens
Cache Read Price$0.025 / 1M tokens
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
Provider Price Ranking
25 providers
Cheapest: GoogleMost Expensive: Cortecs
ProviderInputOutput
1GoogleCheapest
$0
$0
2DeepInfra
$0
$0
3Kilo Gateway
$0.125
$0.75
4302.AI
$0.25
$1.5
5NanoGPT
$0.25
$1.5
6Abacus
$0.25
$1.5
7OpenRouter
$0.25
$1.5
8ZenMux
$0.25
$1.5
9Vivgrid
$0.25
$1.5
10SAP AI Core
$0.25
$1.5
11Poe
$0.25
$1.5
12AIHubMix
$0.25
$1.5
13Requesty
$0.25
$1.5
14Vercel AI Gateway
$0.25
$1.5
15DevPass (LLM Gateway)
$0.25
$1.5
16Vertex
$0.25
$1.5
17NEAR AI Cloud
$0.25
$1.5
18OrcaRouter
$0.25
$1.5
19Merge Gateway
$0.25
$1.5
20Pioneer
$0.25
$1.5
21Ofox
$0.25
$1.5
22Impossibl
$0.25
$1.5
23Eden AI
$0.25
$1.5
24Tempr Gateway
$0.25
$1.5
25Cortecs
$0.272
$1.631
Compare pricing across different API providers for this model.