Gemini 3.1 Flash-Lite
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
- Family
- Gemini 3.1
- 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
- Weights
- Not released
- Code
- Unknown
- Training
- Pretrained
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 3Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Cache | Route |
|---|---|---|---|---|
| Google AI Studio | $0.250 | $1.50 | - | Serverless |
| OpenRouter | $0.250 | $1.50 | - | Serverless |
| Vercel AI Gateway | $0.250 | $1.50 | read $0.030 | Serverless |
Available via routers & gateways(13)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(3)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| MMMU Pro | 76.8 | LLM-Stats aggregatorObserved 2026-06-07 | — | Source |
| Google-Proof Q&A | 86.9 | diamondObserved 2026-05-12 | — | Source |
| Chatbot Arena | 1432.0 | Arena EloObserved 2026-05-12 | — | Source |
Migration checks
No linked migration route is available for this model yet.
API versions
gemini-3.1-flash-liteRankings & picks(4)
Compare Gemini 3.1 Flash-Lite with other models
- Gemini 3.1 Flash-Lite vs Xiaomi MiMo-V2.5-Pro80
- Gemini 3.1 Flash-Lite vs Qwen3.6-27B75
- Gemini 3.1 Flash-Lite vs Grok 4.2044
- Gemini 3.1 Flash-Lite vs GPT-4o-mini Search Preview39
- Gemini 3.1 Flash-Lite vs Kimi K2.639
- Gemini 3.1 Flash-Lite vs GPT-5.5-Cyber37
- Gemini 3.1 Flash-Lite vs Claude Mythos Preview26
- Gemini 3.1 Flash-Lite vs GPT-5.5 Instant22
Comparison and alternatives
Browse all comparisons →Show all 11 popular comparisonssorted by 7-day search impressions
Frequently asked questions
What is the context window of Gemini 3.1 Flash-Lite?
Gemini 3.1 Flash-Lite has a context window of 1.05m tokens.
What is the max output of Gemini 3.1 Flash-Lite?
Gemini 3.1 Flash-Lite can generate up to 66,000 output tokens.
How much does Gemini 3.1 Flash-Lite cost?
Gemini 3.1 Flash-Lite is available at $0.25/1M input tokens through Google AI Studio.
When was Gemini 3.1 Flash-Lite released?
Gemini 3.1 Flash-Lite was released on 2026-05-07.
Which providers offer Gemini 3.1 Flash-Lite?
Gemini 3.1 Flash-Lite is available from 3 providers: Google AI Studio, OpenRouter, Vercel AI Gateway.
What benchmarks has Gemini 3.1 Flash-Lite been tested on?
Gemini 3.1 Flash-Lite has been evaluated on 3 benchmarks, including MMMU Pro, Google-Proof Q&A, Chatbot Arena.
Cheapest of 3 routes · Google AI Studio