Bonsai 27B vs Ternary Bonsai 27B
At a Glance
| Compare |  Bonsai 27BPrismML | Ternary Bonsai 27BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 262K | 262K |
| Model facts checked | Sep 18, 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 | Bonsai 27B | Ternary Bonsai 27B |
|---|---|---|
| Developer | PrismML | PrismML |
| Family | Bonsai 27b | Bonsai 27b |
| Model | Bonsai 27B | Ternary Bonsai 27B |
| Version | Bonsai 27B | Ternary Bonsai 27B |
| Lifecycle | active | active |
| Released | 2026-07-04 | 2026-07-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 27B | 27B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | No | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools, vision | chat, generation, reasoning, tools, vision |
| Base model | Qwen3.6 27B | Qwen3.6 27B |
| Effective bit width | 1 bit per weight | 1.58 bits per weight |
| Language model size | 3.53 GiB | 6.66 GiB |
| Weight format | Binary Q1_0 | Ternary Q2_0 |
Bonsai 27B Capabilities
Ternary Bonsai 27B Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
 GPT-6 AstraOpenAI | vs | Bonsai 27BPrismML | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Bonsai 27BPrismML | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | Bonsai 27BPrismML | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Bonsai 27BPrismML | cross-developer peersimage, text |
Bonsai 27BPrismML | vs | Grok 4.6xAI | cross-developer peersimage, text |
Bonsai 27BPrismML | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Kimi-K3Moonshot AI | vs | Bonsai 27BPrismML | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Bonsai 27BPrismML | cross-developer peersimage, text |
Bonsai 27BPrismML | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Bonsai 27BPrismML | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Bonsai 27BPrismML | cross-developer peersimage, text |
 Mistral Large 3Mistral AI | vs | Bonsai 27BPrismML | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Bonsai 27B vs Ternary Bonsai 27B FAQs
Is Bonsai 27B or Ternary Bonsai 27B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Bonsai 27B and Ternary Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Bonsai 27B or Ternary Bonsai 27B?+
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, Bonsai 27B or Ternary Bonsai 27B?+
Neither model has a larger sourced context window in this comparison. Bonsai 27B is 262K and Ternary Bonsai 27B is 262K.
Which performs better in benchmarks, Bonsai 27B or Ternary Bonsai 27B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Bonsai 27B or Ternary Bonsai 27B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Bonsai 27B is open weight; Ternary Bonsai 27B is open weight.
Can Bonsai 27B and Ternary Bonsai 27B understand images?+
Bonsai 27B is documented with image input; Ternary Bonsai 27B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Bonsai 27B or Ternary Bonsai 27B?+
Neither has a larger sourced maximum output. Bonsai 27B is — and Ternary Bonsai 27B is —.
Do Bonsai 27B and Ternary Bonsai 27B support reasoning and tool use?+
Bonsai 27B: reasoning, tool calling, and image input. Ternary Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Bonsai 27B or Ternary Bonsai 27B?+
Bonsai 27B has 0 sourced provider routes; Ternary Bonsai 27B has 1, so Ternary Bonsai 27B has broader tracked availability.
Which offers better value, Bonsai 27B or Ternary 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.