Muse Spark 1.1 vs Ternary Bonsai 8B
At a Glance
| Compare |  Muse Spark 1.1Meta |  Ternary Bonsai 8BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,000K | 66K |
| 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 8B |
|---|---|---|
| Developer | Meta | PrismML |
| Family | Muse Spark | Bonsai 8b |
| Model | Muse Spark 1.1 | Ternary Bonsai 8B |
| Version | Muse Spark 1.1 | Ternary Bonsai 8B |
| Lifecycle | preview | active |
| Released | 2026-07-09 | 2026-04-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 66K |
| Total parameters | Unknown | 8.2B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | chat, computer-use, generation, reasoning, research, structured_outputs, tools | chat, generation |
| Effective bit width | Unknown | 1.58 bits per weight |
| Weight size | Unknown | 2.18 GB |
| Weight format | Unknown | Ternary Q2_0 |
Muse Spark 1.1 Capabilities
Ternary Bonsai 8B Capabilities
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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 8B FAQs
Is Muse Spark 1.1 or Ternary Bonsai 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.1 and Ternary Bonsai 8B, 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 8B?+
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 8B?+
Muse Spark 1.1 has the larger sourced context window. Muse Spark 1.1 supports 1,000K and Ternary Bonsai 8B supports 66K.
Which performs better in benchmarks, Muse Spark 1.1 or Ternary Bonsai 8B?+
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 8B be self-hosted?+
Ternary Bonsai 8B is the only model in this pair currently marked as self-hostable. Muse Spark 1.1 is not marked open weight; Ternary Bonsai 8B is open weight.
Can Muse Spark 1.1 and Ternary Bonsai 8B understand images?+
Muse Spark 1.1 is documented with image input; Ternary Bonsai 8B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Spark 1.1 or Ternary Bonsai 8B?+
Neither has a larger sourced maximum output. Muse Spark 1.1 is — and Ternary Bonsai 8B is —.
Do Muse Spark 1.1 and Ternary Bonsai 8B support reasoning and tool use?+
Muse Spark 1.1: reasoning, tool calling, and image input. Ternary Bonsai 8B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Spark 1.1 or Ternary Bonsai 8B?+
Muse Spark 1.1 has 0 sourced provider routes; Ternary Bonsai 8B has 0, a tie.
Which offers better value, Muse Spark 1.1 or Ternary Bonsai 8B?+
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.