Gemini 3.1 Flash Lite vs Bonsai 27B
At a Glance
| Compare |  Gemini 3.1 Flash LiteGoogle DeepMind |  Bonsai 27BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.50Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 18, 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
Side-by-Side Facts
| Field | Gemini 3.1 Flash-Lite | Bonsai 27B |
|---|---|---|
| Developer | Google DeepMind | PrismML |
| Family | Gemini 3 | Bonsai 27b |
| Model | Gemini 3.1 Flash-Lite | Bonsai 27B |
| Version | Gemini 3.1 Flash-Lite | Bonsai 27B |
| Lifecycle | active | active |
| Released | Unknown | 2026-07-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 27B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools, vision |
| Base model | Unknown | Qwen3.6 27B |
| Effective bit width | Unknown | 1 bit per weight |
| Language model size | Unknown | 3.53 GiB |
| Weight format | Unknown | Binary Q1_0 |
Gemini 3.1 Flash Lite Capabilities
Bonsai 27B Capabilities
Related Comparisons
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|---|---|---|---|
Gemini 3.1 Flash-LiteGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.1 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 Flash-LiteGoogle DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3.1 Flash-LiteGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 Flash-LiteGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
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 Bonsai 27B FAQs
Is Gemini 3.1 Flash Lite or Bonsai 27B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Flash Lite and Bonsai 27B, 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 Bonsai 27B?+
Only Gemini 3.1 Flash Lite has a directly sourced input price: $0.25 per million tokens. Only Gemini 3.1 Flash Lite has a directly sourced output price: $1.50 per million tokens.
Which has a larger context window, Gemini 3.1 Flash Lite or Bonsai 27B?+
Gemini 3.1 Flash Lite has the larger sourced context window. Gemini 3.1 Flash Lite supports 1,049K and Bonsai 27B supports 262K.
Which performs better in benchmarks, Gemini 3.1 Flash Lite or Bonsai 27B?+
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 Bonsai 27B be self-hosted?+
Bonsai 27B is the only model in this pair currently marked as self-hostable. Gemini 3.1 Flash Lite is not marked open weight; Bonsai 27B is open weight.
Can Gemini 3.1 Flash Lite and Bonsai 27B understand images?+
Gemini 3.1 Flash Lite is documented with image input; Bonsai 27B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Flash Lite or Bonsai 27B?+
Neither has a larger sourced maximum output. Gemini 3.1 Flash Lite is 66K and Bonsai 27B is —.
Do Gemini 3.1 Flash Lite and Bonsai 27B support reasoning and tool use?+
Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Bonsai 27B: 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 Bonsai 27B?+
Gemini 3.1 Flash Lite has 2 sourced provider routes; Bonsai 27B has 0, so Gemini 3.1 Flash Lite has broader tracked availability.
Which offers better value, Gemini 3.1 Flash Lite or Bonsai 27B?+
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.