LLM Reference

Gemini 3.1 Flash-Lite

Released
2026-05-07
Last refreshed
2026-06-19
Status
Researched 7d ago
ProprietaryCommercial use: conditionalMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

Gemini 3.1 Flash-Lite is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 1.05m context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Released
2026-05-07
Context
1.05m
Max output
66,000
Architecture
Decoder Only
Knowledge cutoff
2025-01
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Training
Pretrained
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
$1.50
Input / 1M
$0.250

Cheapest of 3 routes · Google AI Studio

About

Gemini 3.1 Flash-Lite is Google's generally available low-latency Gemini 3.1 model, launched May 7, 2026. It is optimized for high-volume, cost-sensitive workloads with text, image, and video inputs, a 1M token context window, and a 66K token maximum output. The GA model uses the stable API ID gemini-3.1-flash-lite and replaces gemini-3.1-flash-lite-preview, which is scheduled to shut down on May 25, 2026. Pricing is $0.25 per 1M input tokens and $1.50 per 1M output tokens.

Gemini 3.1 Flash-Lite is a proprietary model in the Gemini 3.1 family. The structured metadata tracks a 1.05m-token context window, multimodal input, function calling, tool use, structured outputs, and code execution. This page tracks provider routes through Google AI Studio, OpenRouter, and Vercel AI Gateway, with the cheapest tracked route listed at $0.25 input and $1.5 output per 1M tokens. Headline tracked benchmarks include MMMU Pro 76.8, Google-Proof Q&A 86.9, and Chatbot Arena 1432.0.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 3

Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Google AI Studio$0.250$1.50-
Serverless
OpenRouter$0.250$1.50-
Serverless
Vercel AI Gateway$0.250$1.50read $0.030
Serverless

Available via routers & gateways(13)

Capabilities

VisionMultimodalFunction CallingTool UseStructured OutputsCode Execution

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(3)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
MMMU Pro76.8LLM-Stats aggregatorhttps://llm-stats.com/benchmarks/mmmu-pro
Google-Proof Q&A86.9diamondhttps://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/
Chatbot Arena1432.0Arena Elohttps://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/

Migration checks

No linked migration route is available for this model yet.

API versions

gemini-3.1-flash-lite
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