GPT-4o Mini vs Bonsai 1.7B
At a Glance
| Compare |  GPT-4o MiniOpenAI |  Bonsai 1.7BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.075Openrouter ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.30Openrouter ↗ · Sep 22, 2026 | Not reported |
| Context windowMaximum documented tokens | 128K | 33K |
| 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 | GPT-4o Mini | Bonsai 1.7B |
|---|---|---|
| Developer | OpenAI | PrismML |
| Family | Gpt 4o | Bonsai 1 7b |
| Model | GPT-4o Mini | Bonsai 1.7B |
| Version | GPT-4o Mini | Bonsai 1.7B |
| Lifecycle | active | active |
| Released | Unknown | 2026-03-29 |
| Knowledge cutoff | 2023-10-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 128K | 33K |
| Total parameters | Unknown | 1.7B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Openai (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, tools | chat, generation |
| Effective bit width | Unknown | 1 bit per weight |
| Weight size | Unknown | 0.25 GB |
| Weight format | Unknown | Binary Q1_0 |
GPT-4o Mini Capabilities
Bonsai 1.7B Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
GPT-4o MiniOpenAI | vs | GPT-6 AstraOpenAI | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | GPT-4o MiniOpenAI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
GPT-4o MiniOpenAI | vs | Grok 4.6xAI | cross-developer peersimage, text |
GPT-4o MiniOpenAI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Kimi-K3Moonshot AI | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
GPT-4o MiniOpenAI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
GPT-4o MiniOpenAI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
 Mistral Large 3Mistral AI | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-4o Mini vs Bonsai 1.7B FAQs
Is GPT-4o Mini or Bonsai 1.7B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-4o Mini and Bonsai 1.7B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-4o Mini or Bonsai 1.7B?+
Only GPT-4o Mini has a directly sourced input price: $0.075 per million tokens. Only GPT-4o Mini has a directly sourced output price: $0.30 per million tokens.
Which has a larger context window, GPT-4o Mini or Bonsai 1.7B?+
GPT-4o Mini has the larger sourced context window. GPT-4o Mini supports 128K and Bonsai 1.7B supports 33K.
Which performs better in benchmarks, GPT-4o Mini or Bonsai 1.7B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-4o Mini or Bonsai 1.7B be self-hosted?+
Bonsai 1.7B is the only model in this pair currently marked as self-hostable. GPT-4o Mini is not marked open weight; Bonsai 1.7B is open weight.
Can GPT-4o Mini and Bonsai 1.7B understand images?+
GPT-4o Mini is documented with image input; Bonsai 1.7B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-4o Mini or Bonsai 1.7B?+
Neither has a larger sourced maximum output. GPT-4o Mini is 16K and Bonsai 1.7B is —.
Do GPT-4o Mini and Bonsai 1.7B support reasoning and tool use?+
GPT-4o Mini: tool calling and image input. Bonsai 1.7B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-4o Mini or Bonsai 1.7B?+
GPT-4o Mini has 2 sourced provider routes; Bonsai 1.7B has 0, so GPT-4o Mini has broader tracked availability.
Which offers better value, GPT-4o Mini or Bonsai 1.7B?+
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.