Gemini 3.1 Flash Lite vs Gemini 3.5 Flash
At a Glance
| Compare |  Gemini 3.1 Flash LiteGoogle DeepMind | Gemini 3.5 FlashGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #15 of 4672.1 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #25 of 44$0.140 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #15 of 3856.8 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Google AI ↗ · Aug 29, 2026 | $1.50Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $1.50Google AI ↗ · Aug 29, 2026 | $9.00Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash |
|---|---|---|
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 71.3094% of row best · points · Gemini 3.1 Flash-Lite · 1,628 output tokens / case | 75.58100% of row best · points · Gemini 3.5 Flash (high thinking) · 16,743 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash |
|---|---|---|
| Developer | Google DeepMind | Google DeepMind |
| Family | Gemini 3 | Gemini 3 |
| Model | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash |
| Version | Gemini 3.1 Flash-Lite | Gemini 3.5 Flash |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Gemini 3.1 Flash Lite Capabilities
Gemini 3.5 Flash Capabilities
Related Comparisons
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|---|---|---|---|
Gemini 3.1 Flash-LiteGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
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Gemini 3.1 Flash-LiteGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.1 Flash-LiteGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.1 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 Flash-LiteGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.1 Flash-LiteGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.1 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 Flash-LiteGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Flash Lite vs Gemini 3.5 Flash FAQs
Is Gemini 3.1 Flash Lite or Gemini 3.5 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Flash Lite and Gemini 3.5 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Flash Lite or Gemini 3.5 Flash?+
Gemini 3.1 Flash Lite is $0.25 and Gemini 3.5 Flash is $1.50 per million tokens, so Gemini 3.1 Flash Lite is cheaper on this metric. Gemini 3.1 Flash Lite is $1.50 and Gemini 3.5 Flash is $9.00 per million tokens, so Gemini 3.1 Flash Lite is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Flash Lite or Gemini 3.5 Flash?+
Neither model has a larger sourced context window in this comparison. Gemini 3.1 Flash Lite is 1,049K and Gemini 3.5 Flash is 1,049K.
Which performs better in benchmarks, Gemini 3.1 Flash Lite or Gemini 3.5 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Flash Lite or Gemini 3.5 Flash be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.1 Flash Lite is not marked open weight; Gemini 3.5 Flash is not marked open weight.
Can Gemini 3.1 Flash Lite and Gemini 3.5 Flash understand images?+
Gemini 3.1 Flash Lite is documented with image input; Gemini 3.5 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Flash Lite or Gemini 3.5 Flash?+
Neither has a larger sourced maximum output. Gemini 3.1 Flash Lite is 66K and Gemini 3.5 Flash is 66K.
Do Gemini 3.1 Flash Lite and Gemini 3.5 Flash support reasoning and tool use?+
Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Gemini 3.5 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Flash Lite or Gemini 3.5 Flash?+
Gemini 3.1 Flash Lite has 2 sourced provider routes; Gemini 3.5 Flash has 2, a tie.
Which offers better value, Gemini 3.1 Flash Lite or Gemini 3.5 Flash?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.