Gemini 3.1 Pro vs Bonsai Image Binary 4B
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind |  Bonsai Image Binary 4BPrismML |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #9 of 4679.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #27 of 44$0.161 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #9 of 3859.2 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | Not reported |
| 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 Pro | Bonsai Image Binary 4B |
|---|---|---|
| Developer | Google DeepMind | PrismML |
| Family | Gemini 3 | Bonsai Image 4b |
| Model | Gemini 3.1 Pro | Bonsai Image Binary 4B |
| Version | Gemini 3.1 Pro | Bonsai Image Binary 4B |
| Lifecycle | preview | active |
| Released | Unknown | 2026-05-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Image |
| Context window | 1,049K | Unknown |
| Total parameters | Unknown | 4B |
| 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 | generation |
| Base model | Unknown | FLUX.2 Klein 4B |
| Default resolution | Unknown | 512 × 512 |
| Transformer size | Unknown | 0.93 GB |
| Weight format | Unknown | Binary weights with FP16 group scales |
Gemini 3.1 Pro Capabilities
Bonsai Image Binary 4B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Bonsai Image Binary 4B FAQs
Is Gemini 3.1 Pro or Bonsai Image Binary 4B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Bonsai Image Binary 4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or Bonsai Image Binary 4B?+
Only Gemini 3.1 Pro has a directly sourced input price: $2.00 per million tokens. Only Gemini 3.1 Pro has a directly sourced output price: $12.00 per million tokens.
Which has a larger context window, Gemini 3.1 Pro or Bonsai Image Binary 4B?+
Neither model has a larger sourced context window in this comparison. Gemini 3.1 Pro is 1,049K and Bonsai Image Binary 4B is —.
Which performs better in benchmarks, Gemini 3.1 Pro or Bonsai Image Binary 4B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Pro or Bonsai Image Binary 4B be self-hosted?+
Bonsai Image Binary 4B is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Bonsai Image Binary 4B is open weight.
Can Gemini 3.1 Pro and Bonsai Image Binary 4B understand images?+
Gemini 3.1 Pro is documented with image input; Bonsai Image Binary 4B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or Bonsai Image Binary 4B?+
Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Bonsai Image Binary 4B is —.
Do Gemini 3.1 Pro and Bonsai Image Binary 4B support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Bonsai Image Binary 4B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or Bonsai Image Binary 4B?+
Gemini 3.1 Pro has 2 sourced provider routes; Bonsai Image Binary 4B has 0, so Gemini 3.1 Pro has broader tracked availability.
Which offers better value, Gemini 3.1 Pro or Bonsai Image Binary 4B?+
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.