Muse Spark 1.1 vs Ternary Bonsai 27B
At a Glance
| Compare |  Muse Spark 1.1Meta |  Ternary Bonsai 27BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,000K | 262K |
| Model facts checked | Sep 3, 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 | Muse Spark 1.1 | Ternary Bonsai 27B |
|---|---|---|
| Developer | Meta | PrismML |
| Family | Muse Spark | Bonsai 27b |
| Model | Muse Spark 1.1 | Ternary Bonsai 27B |
| Version | Muse Spark 1.1 | Ternary Bonsai 27B |
| Lifecycle | preview | active |
| Released | 2026-07-09 | 2026-07-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 262K |
| Total parameters | Unknown | 27B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Together Ai (Standard) |
| Capabilities | chat, computer-use, generation, reasoning, research, structured_outputs, tools | chat, generation, reasoning, tools, vision |
| Base model | Unknown | Qwen3.6 27B |
| Effective bit width | Unknown | 1.58 bits per weight |
| Language model size | Unknown | 6.66 GiB |
| Weight format | Unknown | Ternary Q2_0 |
Muse Spark 1.1 Capabilities
Ternary Bonsai 27B Capabilities
Related Comparisons
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|---|---|---|---|
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 DeepSeek-V4.1-FlashDeepSeek | vs | Muse Spark 1.1Meta | cross-developer peersimage, text |
Muse Spark 1.1Meta | vs | Grok 4.6xAI | cross-developer peersimage, text |
Muse Spark 1.1Meta | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Muse Spark 1.1Meta | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Muse Spark 1.1Meta | cross-developer peersimage, text |
Muse Spark 1.1Meta | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Muse Spark 1.1Meta | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Muse Spark 1.1Meta | cross-developer peersimage, text, video |
Muse Spark 1.1Meta | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Muse Spark 1.1 vs Ternary Bonsai 27B FAQs
Is Muse Spark 1.1 or Ternary Bonsai 27B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.1 and Ternary Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Spark 1.1 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, Muse Spark 1.1 or Ternary Bonsai 27B?+
Muse Spark 1.1 has the larger sourced context window. Muse Spark 1.1 supports 1,000K and Ternary Bonsai 27B supports 262K.
Which performs better in benchmarks, Muse Spark 1.1 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 Muse Spark 1.1 or Ternary Bonsai 27B be self-hosted?+
Ternary Bonsai 27B is the only model in this pair currently marked as self-hostable. Muse Spark 1.1 is not marked open weight; Ternary Bonsai 27B is open weight.
Can Muse Spark 1.1 and Ternary Bonsai 27B understand images?+
Muse Spark 1.1 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, Muse Spark 1.1 or Ternary Bonsai 27B?+
Neither has a larger sourced maximum output. Muse Spark 1.1 is — and Ternary Bonsai 27B is —.
Do Muse Spark 1.1 and Ternary Bonsai 27B support reasoning and tool use?+
Muse Spark 1.1: 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, Muse Spark 1.1 or Ternary Bonsai 27B?+
Muse Spark 1.1 has 0 sourced provider routes; Ternary Bonsai 27B has 1, so Ternary Bonsai 27B has broader tracked availability.
Which offers better value, Muse Spark 1.1 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.