Claude Sonnet 4.5 vs Bonsai 27B
At a Glance
| Compare | Claude Sonnet 4.5Anthropic |  Bonsai 27BPrismML |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #36 of 4627.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 18.5–51.8 | UnrankedNot in the 46-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $3.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $15.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 200K | 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 | Claude Sonnet 4.5 | Bonsai 27B |
|---|---|---|
| Developer | Anthropic | PrismML |
| Family | Claude 4 | Bonsai 27b |
| Model | Claude Sonnet 4.5 | Bonsai 27B |
| Version | Claude Sonnet 4.5 | Bonsai 27B |
| Lifecycle | active | active |
| Released | 2025-09-29 | 2026-07-04 |
| Knowledge cutoff | 2025-01-01 | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 200K | 262K |
| Total parameters | Unknown | 27B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools, vision |
| Base model | Unknown | Qwen3.6 27B |
| Effective bit width | Unknown | 1 bit per weight |
| Language model size | Unknown | 3.53 GiB |
| Weight format | Unknown | Binary Q1_0 |
Claude Sonnet 4.5 Capabilities
Bonsai 27B Capabilities
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Claude Sonnet 4.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Sonnet 4.5Anthropic | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Sonnet 4.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
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Claude Sonnet 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 4.5 vs Bonsai 27B FAQs
Is Claude Sonnet 4.5 or Bonsai 27B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.5 and Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Sonnet 4.5 or Bonsai 27B?+
Only Claude Sonnet 4.5 has a directly sourced input price: $3.00 per million tokens. Only Claude Sonnet 4.5 has a directly sourced output price: $15.00 per million tokens.
Which has a larger context window, Claude Sonnet 4.5 or Bonsai 27B?+
Bonsai 27B has the larger sourced context window. Claude Sonnet 4.5 supports 200K and Bonsai 27B supports 262K.
Which performs better in benchmarks, Claude Sonnet 4.5 or Bonsai 27B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Sonnet 4.5 or Bonsai 27B be self-hosted?+
Bonsai 27B is the only model in this pair currently marked as self-hostable. Claude Sonnet 4.5 is not marked open weight; Bonsai 27B is open weight.
Can Claude Sonnet 4.5 and Bonsai 27B understand images?+
Claude Sonnet 4.5 is documented with image input; Bonsai 27B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Sonnet 4.5 or Bonsai 27B?+
Neither has a larger sourced maximum output. Claude Sonnet 4.5 is 64K and Bonsai 27B is —.
Do Claude Sonnet 4.5 and Bonsai 27B support reasoning and tool use?+
Claude Sonnet 4.5: reasoning, tool calling, and image input. Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Sonnet 4.5 or Bonsai 27B?+
Claude Sonnet 4.5 has 1 sourced provider route; Bonsai 27B has 0, so Claude Sonnet 4.5 has broader tracked availability.
Which offers better value, Claude Sonnet 4.5 or 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.