Bonsai Image Ternary 4B vs Hy4 preview
At a Glance
| Compare |  Bonsai Image Ternary 4BPrismML |  Hy4 previewTencent |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.834Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.501Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | Not reported | 1,000K |
| Model facts checked | Sep 18, 2026View model evidence → | Sep 2, 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 Image Ternary 4B | Hy4 preview |
|---|---|---|
| Developer | PrismML | Tencent |
| Family | Bonsai Image 4b | Hy4 |
| Model | Bonsai Image Ternary 4B | Hy4 preview |
| Version | Bonsai Image Ternary 4B | Hy4 preview |
| Lifecycle | active | preview |
| Released | 2026-05-21 | 2026-08-28 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Image | Text |
| Context window | Unknown | 1,000K |
| Total parameters | 4B | 770B |
| Active parameters | Unknown | 49B |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | No | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Openrouter (Standard) |
| Capabilities | generation | chat, generation, reasoning, tools |
| Base model | FLUX.2 Klein 4B | Unknown |
| Default resolution | 512 × 512 | Unknown |
| Transformer size | 1.21 GB | Unknown |
| Weight format | Ternary weights with FP16 group scales | Unknown |
Bonsai Image Ternary 4B Capabilities
Hy4 preview Capabilities
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
 GPT-6 AstraOpenAI | vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
Claude Fable 5.1Anthropic | vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
 Gemini 3.1 ProGoogle DeepMind | vs | Bonsai Image Ternary 4BPrismML | cross-developer peers |
 DeepSeek-V4.1-FlashDeepSeek | vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
Bonsai Image Ternary 4BPrismML | vs | Grok 4.6xAI | cross-developer peersimage |
Bonsai Image Ternary 4BPrismML | vs |  Qwen3.8-MaxQwen | cross-developer peersimage |
 Kimi-K3Moonshot AI | vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
 MiniMax-M3MiniMax | vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
Bonsai Image Ternary 4BPrismML | vs |  GLM-5.3Z.ai | cross-developer peers |
Seed 2.1 ProByteDance Seed | vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
 Mistral Large 3Mistral AI | vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
| vs | Bonsai Image Ternary 4BPrismML | cross-developer peersimage |
Primary Evidence
Sources and Freshness
Questions
Bonsai Image Ternary 4B vs Hy4 preview FAQs
Is Bonsai Image Ternary 4B or Hy4 preview better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Bonsai Image Ternary 4B and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Bonsai Image Ternary 4B or Hy4 preview?+
Only Hy4 preview has a directly sourced input price: $0.834 per million tokens. Only Hy4 preview has a directly sourced output price: $2.501 per million tokens.
Which has a larger context window, Bonsai Image Ternary 4B or Hy4 preview?+
Neither model has a larger sourced context window in this comparison. Bonsai Image Ternary 4B is — and Hy4 preview is 1,000K.
Which performs better in benchmarks, Bonsai Image Ternary 4B or Hy4 preview?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Bonsai Image Ternary 4B or Hy4 preview be self-hosted?+
Both models have the same recorded self-hosting status: supported. Bonsai Image Ternary 4B is open weight; Hy4 preview is open weight.
Can Bonsai Image Ternary 4B and Hy4 preview understand images?+
Bonsai Image Ternary 4B is not documented with image input; Hy4 preview is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Bonsai Image Ternary 4B or Hy4 preview?+
Neither has a larger sourced maximum output. Bonsai Image Ternary 4B is — and Hy4 preview is —.
Do Bonsai Image Ternary 4B and Hy4 preview support reasoning and tool use?+
Bonsai Image Ternary 4B: none of these features are definitively sourced. Hy4 preview: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Bonsai Image Ternary 4B or Hy4 preview?+
Bonsai Image Ternary 4B has 0 sourced provider routes; Hy4 preview has 1, so Hy4 preview has broader tracked availability.
Which offers better value, Bonsai Image Ternary 4B or Hy4 preview?+
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.