Gemini 3.1 Flash Lite vs Gemini 3.8 Flash
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemini 3.1 Flash-Lite | Gemini 3.8 Flash |
|---|---|---|
| Developer | Google DeepMind | Google DeepMind |
| Family | Gemini 3 | Gemini 3 |
| Model | Gemini 3.1 Flash-Lite | Gemini 3.8 Flash |
| Version | Gemini 3.1 Flash-Lite | Gemini 3.8 Flash |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-02 |
| 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, code_execution, computer_use, generation, reasoning, structured_outputs, tools |
13 comparable fields · 3 material differences · Pair passes the primary-source comparison gate
Gemini 3.1 Flash Lite Capabilities
Gemini 3.8 Flash Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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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 3.8 Flash FAQs
Is Gemini 3.1 Flash Lite or Gemini 3.8 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Flash Lite and Gemini 3.8 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 3.8 Flash?+
Gemini 3.1 Flash Lite is $0.25 and Gemini 3.8 Flash is $0.75 per million tokens, so Gemini 3.1 Flash Lite is cheaper on this metric. Gemini 3.1 Flash Lite is $1.50 and Gemini 3.8 Flash is $3.75 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 3.8 Flash?+
Neither model has a larger sourced context window in this comparison. Gemini 3.1 Flash Lite is 1,049K and Gemini 3.8 Flash is 1,049K.
Which performs better in benchmarks, Gemini 3.1 Flash Lite or Gemini 3.8 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 3.8 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 3.8 Flash is not marked open weight.
Can Gemini 3.1 Flash Lite and Gemini 3.8 Flash understand images?+
Gemini 3.1 Flash Lite is documented with image input; Gemini 3.8 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 3.8 Flash?+
Neither has a larger sourced maximum output. Gemini 3.1 Flash Lite is 66K and Gemini 3.8 Flash is 66K.
Do Gemini 3.1 Flash Lite and Gemini 3.8 Flash support reasoning and tool use?+
Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Gemini 3.8 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 3.8 Flash?+
Gemini 3.1 Flash Lite has 2 sourced provider routes; Gemini 3.8 Flash has 2, a tie.
Which offers better value, Gemini 3.1 Flash Lite or Gemini 3.8 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.