Phi-4 Reasoning vs Bonsai 8B
At a Glance
| Compare |  Phi-4 ReasoningMicrosoft |  Bonsai 8BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 33K | 66K |
| Model facts checked | Aug 28, 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 | Phi-4-reasoning | Bonsai 8B |
|---|---|---|
| Developer | Microsoft | PrismML |
| Family | Phi 4 Reasoning | Bonsai 8b |
| Model | Phi-4-reasoning | Bonsai 8B |
| Version | Phi-4-reasoning | Bonsai 8B |
| Lifecycle | active | active |
| Released | 2025-04-30 | 2026-03-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 33K | 66K |
| Total parameters | 14.7B | 8.2B |
| Active parameters | Unknown | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | No |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | chat, generation, reasoning | chat, generation |
| Effective bit width | Unknown | 1 bit per weight |
| Weight size | Unknown | 1.16 GB |
| Weight format | Unknown | Binary Q1_0 |
Phi-4 Reasoning Capabilities
Bonsai 8B Capabilities
Related Comparisons
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Phi-4-reasoningMicrosoft | vs | Grok 4.6xAI | cross-developer peerstext |
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Phi-4-reasoningMicrosoft | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Phi-4-reasoningMicrosoft | cross-developer peerstext |
Phi-4-reasoningMicrosoft | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Phi-4-reasoningMicrosoft | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Phi-4-reasoningMicrosoft | cross-developer peerstext |
Phi-4-reasoningMicrosoft | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Phi-4 Reasoning vs Bonsai 8B FAQs
Is Phi-4 Reasoning or Bonsai 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Reasoning and Bonsai 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Phi-4 Reasoning or 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, Phi-4 Reasoning or Bonsai 8B?+
Bonsai 8B has the larger sourced context window. Phi-4 Reasoning supports 33K and Bonsai 8B supports 66K.
Which performs better in benchmarks, Phi-4 Reasoning or Bonsai 8B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Phi-4 Reasoning or Bonsai 8B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Phi-4 Reasoning is open weight; Bonsai 8B is open weight.
Can Phi-4 Reasoning and Bonsai 8B understand images?+
Phi-4 Reasoning is not documented with image input; Bonsai 8B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Phi-4 Reasoning or Bonsai 8B?+
Neither has a larger sourced maximum output. Phi-4 Reasoning is — and Bonsai 8B is —.
Do Phi-4 Reasoning and Bonsai 8B support reasoning and tool use?+
Phi-4 Reasoning: reasoning. Bonsai 8B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Phi-4 Reasoning or Bonsai 8B?+
Phi-4 Reasoning has 0 sourced provider routes; Bonsai 8B has 0, a tie.
Which offers better value, Phi-4 Reasoning or 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.