Gemini 3.8 Flash Cyber vs Bonsai 1.7B
At a Glance
| Compare | Gemini 3.8 Flash CyberGoogle DeepMind | Bonsai 1.7BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | 33K |
| Model facts checked | Sep 2, 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 3.8 Flash Cyber | Bonsai 1.7B |
|---|---|---|
| Developer | Google DeepMind | PrismML |
| Family | Gemini 3 | Bonsai 1 7b |
| Model | Gemini 3.8 Flash Cyber | Bonsai 1.7B |
| Version | Gemini 3.8 Flash Cyber | Bonsai 1.7B |
| Lifecycle | active | active |
| Released | 2026-09-02 | 2026-03-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | Unknown | 33K |
| Total parameters | Unknown | 1.7B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | No | No |
| Self-hostable | No | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | automated-patching, cybersecurity, reasoning, vulnerability-detection | chat, generation |
| Effective bit width | Unknown | 1 bit per weight |
| Weight size | Unknown | 0.25 GB |
| Weight format | Unknown | Binary Q1_0 |
Gemini 3.8 Flash Cyber Capabilities
Bonsai 1.7B Capabilities
Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash Cyber vs Bonsai 1.7B FAQs
Is Gemini 3.8 Flash Cyber or Bonsai 1.7B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and Bonsai 1.7B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.8 Flash Cyber or Bonsai 1.7B?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Gemini 3.8 Flash Cyber or Bonsai 1.7B?+
Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and Bonsai 1.7B is 33K.
Which performs better in benchmarks, Gemini 3.8 Flash Cyber or Bonsai 1.7B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.8 Flash Cyber or Bonsai 1.7B be self-hosted?+
Bonsai 1.7B is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash Cyber is not marked open weight; Bonsai 1.7B is open weight.
Can Gemini 3.8 Flash Cyber and Bonsai 1.7B understand images?+
Gemini 3.8 Flash Cyber is not documented with image input; Bonsai 1.7B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.8 Flash Cyber or Bonsai 1.7B?+
Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and Bonsai 1.7B is —.
Do Gemini 3.8 Flash Cyber and Bonsai 1.7B support reasoning and tool use?+
Gemini 3.8 Flash Cyber: reasoning. Bonsai 1.7B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.8 Flash Cyber or Bonsai 1.7B?+
Gemini 3.8 Flash Cyber has 0 sourced provider routes; Bonsai 1.7B has 0, a tie.
Which offers better value, Gemini 3.8 Flash Cyber or Bonsai 1.7B?+
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.