Sonar Reasoning Pro vs Ternary Bonsai 27B
At a Glance
| Compare | Sonar Reasoning ProPerplexity | Ternary Bonsai 27BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Openrouter ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $8.00Openrouter ↗ · Sep 22, 2026 | Not reported |
| Context windowMaximum documented tokens | 128K | 262K |
| Model facts checked | Aug 29, 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 | Sonar Reasoning Pro | Ternary Bonsai 27B |
|---|---|---|
| Developer | Perplexity | PrismML |
| Family | Sonar | Bonsai 27b |
| Model | Sonar Reasoning Pro | Ternary Bonsai 27B |
| Version | Sonar Reasoning Pro | Ternary Bonsai 27B |
| Lifecycle | active | active |
| Released | Unknown | 2026-07-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 128K | 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 | Openrouter (Standard), Perplexity (Standard) | Together Ai (Standard) |
| Capabilities | chat, citations, reasoning, search | 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 |
Sonar Reasoning Pro Capabilities
Ternary Bonsai 27B Capabilities
Primary Evidence
Sources and Freshness
Questions
Sonar Reasoning Pro vs Ternary Bonsai 27B FAQs
Is Sonar Reasoning Pro or Ternary Bonsai 27B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Sonar Reasoning Pro and Ternary Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Sonar Reasoning Pro or Ternary Bonsai 27B?+
Only Sonar Reasoning Pro has a directly sourced input price: $2.00 per million tokens. Only Sonar Reasoning Pro has a directly sourced output price: $8.00 per million tokens.
Which has a larger context window, Sonar Reasoning Pro or Ternary Bonsai 27B?+
Ternary Bonsai 27B has the larger sourced context window. Sonar Reasoning Pro supports 128K and Ternary Bonsai 27B supports 262K.
Which performs better in benchmarks, Sonar Reasoning Pro 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 Sonar Reasoning Pro or Ternary Bonsai 27B be self-hosted?+
Ternary Bonsai 27B is the only model in this pair currently marked as self-hostable. Sonar Reasoning Pro is not marked open weight; Ternary Bonsai 27B is open weight.
Can Sonar Reasoning Pro and Ternary Bonsai 27B understand images?+
Sonar Reasoning Pro is not 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, Sonar Reasoning Pro or Ternary Bonsai 27B?+
Neither has a larger sourced maximum output. Sonar Reasoning Pro is — and Ternary Bonsai 27B is —.
Do Sonar Reasoning Pro and Ternary Bonsai 27B support reasoning and tool use?+
Sonar Reasoning Pro: reasoning. Ternary Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Sonar Reasoning Pro or Ternary Bonsai 27B?+
Sonar Reasoning Pro has 2 sourced provider routes; Ternary Bonsai 27B has 1, so Sonar Reasoning Pro has broader tracked availability.
Which offers better value, Sonar Reasoning Pro 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.